Introduction

For one of my machine learning classes we had a project that consumed financial data. I have extended that project to use machine learning to see if an indicator, or predictor, can be found that identifies market tops that occur prior to recessions. Then I use the model to build a trading strategy and backtest it to see how it performs.

Get Economic and Financial Data

Acquiring the data consists of two steps. First the code pulls the data into zoo objects which are then collapsed into a single data frame (df.data). Features are extracted from these series and added to the df.data data frame.

Sample call to pull economic data

Data is pulled from several sources include FRED, yahoo, and Google. The code below shows an example that pulls in the consumer price index (CPI) from the FRED. I pull data using quantmod, Quandl, and some manual extractions stored in spreadsheets.

# Consumer Price Index for All Urban Consumers: All Items
if (bRefresh == TRUE) {
  getSymbols("CPIAUCSL", src = "FRED", auto.assign = TRUE)
}
## [1] "CPIAUCSL"
## [1] "CPIAUCSL"
## [1] "USREC"
## [1] "UNRATE"
## [1] "PCEPI"
## [1] "CCSA"
## [1] "CCNSA"
## [1] "NPPTTL"
## [1] "CEU0500000001"
## [1] "U6RATE"
## [1] "PAYNSA"
## [1] "TABSHNO"
## [1] "HNONWPDPI"
## [1] "INDPRO"
## [1] "RRSFS"
## [1] "RSALES"
## [1] "W875RX1"
## [1] "RPI"
## [1] "PCOPPUSDM"
## [1] "NOBL"
## [1] "SCHD"
## [1] "PFF"
## [1] "HPI"
## Warning: HPI download failed; trying again.
## [1] "GSFTX"
## [1] "LFMIX"
## Warning: LFMIX download failed; trying again.
## [1] "LFMCX"
## [1] "LFMAX"
## [1] "LCSIX"
## [1] "BSV"
## Warning: BSV download failed; trying again.
## [1] "VBIRX"
## Warning: VBIRX download failed; trying again.
## [1] "BIV"
## [1] "VFSUX"
## [1] "LTUIX"
## [1] "PTTPX"
## [1] "NERYX"
## [1] "STIGX"
## [1] "HLGAX"
## Warning: HLGAX download failed; trying again.
## [1] "FTRGX"
## [1] "THIIX"
## [1] "PTTRX"
## [1] "BFIGX"
## [1] "VTWO"
## [1] "EIFAX"
## [1] "ASDAX"
## Warning: ASDAX contains missing values. Some functions will not work if objects
## contain missing values in the middle of the series. Consider using na.omit(),
## na.approx(), na.fill(), etc to remove or replace them.
## [1] "TRBUX"
## [1] "PRVIX"
## [1] "PRWCX"
## [1] "ADOZX"
## [1] "MERFX"
## [1] "CMNIX"
## [1] "CIHEX"
## [1] "IMPCH"
## [1] "EXPCH"
## [1] "IMPMX"
## [1] "EXPMX"
## [1] "HSN1FNSA"
## [1] "HNFSUSNSA"
## [1] "BUSLOANS"
## [1] "TOTCI"
## [1] "BUSLOANSNSA"
## [1] "REALLNNSA"
## [1] "REALLN"
## [1] "RELACBW027NBOG"
## [1] "RELACBW027SBOG"
## [1] "RREACBM027NBOG"
## [1] "RREACBM027SBOG"
## [1] "RREACBW027SBOG"
## [1] "RREACBW027NBOG"
## [1] "MORTGAGE30US"
## [1] "CONSUMERNSA"
## [1] "TOTLLNSA"
## [1] "DPSACBW027SBOG"
## [1] "DRCLACBS"
## [1] "TOTCINSA"
## [1] "SRPSABSNNCB"
## [1] "ASTLL"
## [1] "FBDILNECA"
## [1] "ASOLAL"
## [1] "ASTMA"
## [1] "ASHMA"
## [1] "ASMRMA"
## [1] "ASCMA"
## [1] "ASFMA"
## [1] "CCLBSHNO"
## [1] "FBDSILQ027S"
## [1] "FBLL"
## [1] "NCBDBIQ027S"
## [1] "DGS10"
## [1] "^TNX"
## Warning: ^TNX download failed; trying again.
## Warning: CL=F contains missing values. Some functions will not work if objects
## contain missing values in the middle of the series. Consider using na.omit(),
## na.approx(), na.fill(), etc to remove or replace them.
## [1] "DGS30"
## [1] "DGS1"
## [1] "DGS2"
## [1] "TB3MS"
## [1] "DTB3"
## [1] "^IRX"
## Warning: ^IRX contains missing values. Some functions will not work if objects
## contain missing values in the middle of the series. Consider using na.omit(),
## na.approx(), na.fill(), etc to remove or replace them.
## [1] "DCOILWTICO"
## [1] "DCOILBRENTEU"
## [1] "NEWORDER"
## [1] "ALTSALES"
## [1] "ICSA"
## [1] "^GSPC"
## [1] "FXAIX"
## [1] "FTIHX"
## [1] "MDIZX"
## [1] "DODIX"
## [1] "^RLG"
## Warning: ^RLG contains missing values. Some functions will not work if objects
## contain missing values in the middle of the series. Consider using na.omit(),
## na.approx(), na.fill(), etc to remove or replace them.
## [1] "^DJI"
## [1] "^STOXX50E"
## Warning: ^STOXX50E contains missing values. Some functions will not work if
## objects contain missing values in the middle of the series. Consider using
## na.omit(), na.approx(), na.fill(), etc to remove or replace them.
## [1] "EFA"
## [1] "GDP"
## [1] "FNDEFX"
## [1] "FDEFX"
## [1] "GDPNOW"
## [1] "GDPC1"
## [1] "GDPDEF"
## [1] "VIG"
## [1] "WLRRAL"
## [1] "FEDFUNDS"
## [1] "GPDI"
## [1] "W790RC1Q027SBEA"
## [1] "MZMV"
## [1] "M1"
## [1] "M2"
## [1] "OPHNFB"
## [1] "IPMAN"
## [1] "IWD"
## [1] "GS5"
## [1] "PSAVERT"
## [1] "VIXCLS"
## [1] "VXX"
## [1] "HOUST1F"
## [1] "GFDEBTN"
## [1] "HOUST"
## [1] "HOUSTNSA"
## [1] "EXHOSLUSM495S"
## [1] "MSPUS"
## [1] "UMDMNO"
## [1] "DGORDER"
## [1] "CSUSHPINSA"
## [1] "GFDEGDQ188S"
## [1] "FYFSD"
## [1] "FYFSGDA188S"
## [1] "GDX"
## Warning: GDX download failed; trying again.
## [1] "XLE"
## [1] "GSG"
## [1] "WALCL"
## [1] "OUTMS"
## [1] "MANEMP"
## [1] "PRS30006163"
## [1] "BAMLC0A3CA"
## [1] "AAA"
## [1] "SOFR"
## [1] "SOFRVOL"
## [1] "SOFR99"
## [1] "SOFR75"
## [1] "SOFR25"
## [1] "SOFR1"
## [1] "OBFR"
## [1] "OBFR99"
## [1] "OBFR75"
## [1] "OBFR25"
## [1] "OBFR1"
## [1] "RPONTSYD"
## [1] "IOER"
## [1] "WRESBAL"
## [1] "EXCSRESNW"
## [1] "ECBASSETS"
## [1] "EUNNGDP"
## [1] "CEU0600000007"
## [1] "CURRENCY"
## [1] "WCURRNS"
## [1] "BOGMBASE"
## [1] "PRS88003193"
## [1] "PPIACO"
## [1] "PCUOMFGOMFG"
## [1] "POPTHM"
## [1] "POPTHM"
## [1] "CLF16OV"
## [1] "LNU01000000"
## [1] "LNU03000000"
## [1] "UNEMPLOY"
## [1] "RSAFS"
## [1] "FRGSHPUSM649NCIS"
## [1] "BOPGTB"
## [1] "TERMCBPER24NS"
## [1] "A065RC1A027NBEA"
## [1] "PI"
## [1] "PCE"
## [1] "A053RC1Q027SBEA"
## [1] "CPROFIT"
## [1] "SPY"
## [1] "MDY"
## Warning: MDY download failed; trying again.
## [1] "EES"
## [1] "IJR"
## [1] "VGSTX"
## [1] "VFINX"
## [1] "VOE"
## [1] "VOT"
## [1] "TMFGX"
## Warning: TMFGX contains missing values. Some functions will not work if objects
## contain missing values in the middle of the series. Consider using na.omit(),
## na.approx(), na.fill(), etc to remove or replace them.
## [1] "IWM"
## [1] "ONEQ"
## [1] "FSMAX"
## [1] "FXNAX"
## [1] "HAINX"
## [1] "HNACX"
## Warning: HNACX download failed; trying again.
## [1] "VEU"
## Warning: VEU download failed; trying again.
## [1] "VEIRX"
## [1] "BIL"
## [1] "IVOO"
## [1] "VO"
## [1] "CZA"
## [1] "VYM"
## Warning: VYM download failed; trying again.
## [1] "ACWI"
## [1] "SLY"
## Warning: SLY contains missing values. Some functions will not work if objects
## contain missing values in the middle of the series. Consider using na.omit(),
## na.approx(), na.fill(), etc to remove or replace them.
## [1] "QQQ"
## [1] "HYMB"
## [1] "GOLD"
## [1] "BKR"
## [1] "SLB"
## Warning: SLB download failed; trying again.
## [1] "HAL"
## [1] "IP"
## [1] "PKG"
## [1] "UPS"
## [1] "FDX"
## [1] "T"
## [1] "VZ"

Load up the EIA data

Load rig count data

The Baker Hughes rig count numbers

USDA data

Loading in farm data

## Warning in read_fun(path = enc2native(normalizePath(path)), sheet_i = sheet, :
## Expecting numeric in E3 / R3C5: got a date
## New names:
## * `` -> ...1
## * `` -> ...2
## * `` -> ...3
## * `` -> ...4
## * `` -> ...5
## * ...
## Warning: NAs introduced by coercion

Loading in Silverblatt’s S&P 500 spreadsheet starting with the quarterly data.

## New names:
## * `` -> ...2
## * `` -> ...3
## * `` -> ...5
## * `` -> ...6
## * `` -> ...7

Now load in the estimates

## New names:
## * `` -> ...2
## * `` -> ...3
## * `` -> ...4
## * `` -> ...5
## * `` -> ...6
## * ...

Covid 19 Data

Get the Covid-19 data from JHU

## Rows: 919308 Columns: 15
## -- Column specification ------------------------------------------------------------------------------------------------
## Delimiter: ","
## chr  (8): province, country, type, iso2, iso3, combined_key, continent_name,...
## dbl  (6): lat, long, cases, uid, code3, population
## date (1): date
## 
## i Use `spec()` to retrieve the full column specification for this data.
## i Specify the column types or set `show_col_types = FALSE` to quiet this message.
## Downloading GitHub repo RamiKrispin/coronavirus@master
##   
  
  
   checking for file 'C:\Users\Rainy\AppData\Local\Temp\RtmpamlB6h\remotes68bc35d76ff8\RamiKrispin-coronavirus-b286a3c/DESCRIPTION' ...
  
v  checking for file 'C:\Users\Rainy\AppData\Local\Temp\RtmpamlB6h\remotes68bc35d76ff8\RamiKrispin-coronavirus-b286a3c/DESCRIPTION' (471ms)
## 
  
  
  
-  preparing 'coronavirus': (2.9s)
##    checking DESCRIPTION meta-information ...
  
   checking DESCRIPTION meta-information ... 
  
v  checking DESCRIPTION meta-information
## 
  
  
  
-  checking for LF line-endings in source and make files and shell scripts (663ms)
## 
  
  
  
-  checking for empty or unneeded directories
## 
  
  
  
-  building 'coronavirus_0.3.32.tar.gz'
## 
  
   
## 
## Caught an warning!
## <simpleWarning: package 'coronavirus' is in use and will not be installed>
## `summarise()` has grouped output by 'country'. You can override using the
## `.groups` argument.

## Warning: Removed 3 row(s) containing missing values (geom_path).

Feature Extraction

With the raw data downloaded, some of the interesting features can be extracted. The first step is reconcile the time intervals. Some of the data is released monthly and some daily. I chose to interpolate all data to a daily interval. The first section of code adds the daily rows to the dataframe.

The code performs interpolation for continuous data or carries it forward for binary data like the recession indicators.

source("calcInterpolate.r")
df.data <- calcInterpolate(df.symbols)
## Warning in merge.xts(xtsData, get(df.symbols$string.symbol[idx])): NAs
## introduced by coercion

## Warning in merge.xts(xtsData, get(df.symbols$string.symbol[idx])): NAs
## introduced by coercion

## Warning in merge.xts(xtsData, get(df.symbols$string.symbol[idx])): NAs
## introduced by coercion

## Warning in merge.xts(xtsData, get(df.symbols$string.symbol[idx])): NAs
## introduced by coercion

Truncate data

Create aggregate series

Some analysis requires that two or more series be combined. For example, normallizing debt by GDP to get a sense of the proportion of debt to the total economy helps understand the debt cycle.

Year over year, smoothed derivative, and log trends tend to smooth out seasonal variation. It gets used so often that I do this for every series downloaded.

source("calcFeatures.r")
lst.df <- calcFeatures(df.data, df.symbols)
## [1] "USREC has zero or negative values. Log series will be zero."
## [1] "GSFTX.Volume has zero or negative values. Log series will be zero."
## [1] "LFMIX.Volume has zero or negative values. Log series will be zero."
## [1] "LFMCX.Volume has zero or negative values. Log series will be zero."
## [1] "LFMAX.Volume has zero or negative values. Log series will be zero."
## [1] "LCSIX.Volume has zero or negative values. Log series will be zero."
## [1] "VBIRX.Volume has zero or negative values. Log series will be zero."
## [1] "VFSUX.Volume has zero or negative values. Log series will be zero."
## [1] "LTUIX.Volume has zero or negative values. Log series will be zero."
## [1] "PTTPX.Volume has zero or negative values. Log series will be zero."
## [1] "NERYX.Volume has zero or negative values. Log series will be zero."
## [1] "STIGX.Volume has zero or negative values. Log series will be zero."
## [1] "HLGAX.Volume has zero or negative values. Log series will be zero."
## [1] "FTRGX.Volume has zero or negative values. Log series will be zero."
## [1] "THIIX.Volume has zero or negative values. Log series will be zero."
## [1] "PTTRX.Volume has zero or negative values. Log series will be zero."
## [1] "BFIGX.Volume has zero or negative values. Log series will be zero."
## [1] "EIFAX.Volume has zero or negative values. Log series will be zero."
## [1] "ASDAX.Volume has zero or negative values. Log series will be zero."
## [1] "TRBUX.Volume has zero or negative values. Log series will be zero."
## [1] "PRVIX.Volume has zero or negative values. Log series will be zero."
## [1] "PRWCX.Volume has zero or negative values. Log series will be zero."
## [1] "ADOZX.Volume has zero or negative values. Log series will be zero."
## [1] "MERFX.Volume has zero or negative values. Log series will be zero."
## [1] "CMNIX.Volume has zero or negative values. Log series will be zero."
## [1] "CIHEX.Volume has zero or negative values. Log series will be zero."
## [1] "SRPSABSNNCB has zero or negative values. Log series will be zero."
## [1] "TNX.Volume has zero or negative values. Log series will be zero."
## [1] "CLF.Open has zero or negative values. Log series will be zero."
## [1] "CLF.Low has zero or negative values. Log series will be zero."
## [1] "CLF.Close has zero or negative values. Log series will be zero."
## [1] "CLF.Volume has zero or negative values. Log series will be zero."
## [1] "CLF.Adjusted has zero or negative values. Log series will be zero."
## [1] "DTB3 has zero or negative values. Log series will be zero."
## [1] "IRX.Open has zero or negative values. Log series will be zero."
## [1] "IRX.High has zero or negative values. Log series will be zero."
## [1] "IRX.Low has zero or negative values. Log series will be zero."
## [1] "IRX.Close has zero or negative values. Log series will be zero."
## [1] "IRX.Volume has zero or negative values. Log series will be zero."
## [1] "IRX.Adjusted has zero or negative values. Log series will be zero."
## [1] "DCOILWTICO has zero or negative values. Log series will be zero."
## [1] "FXAIX.Volume has zero or negative values. Log series will be zero."
## [1] "FTIHX.Volume has zero or negative values. Log series will be zero."
## [1] "MDIZX.Volume has zero or negative values. Log series will be zero."
## [1] "DODIX.Volume has zero or negative values. Log series will be zero."
## [1] "RLG.Volume has zero or negative values. Log series will be zero."
## [1] "STOXX50E.Volume has zero or negative values. Log series will be zero."
## [1] "GDPNOW has zero or negative values. Log series will be zero."
## [1] "W790RC1Q027SBEA has zero or negative values. Log series will be zero."
## [1] "VXX.Volume has zero or negative values. Log series will be zero."
## [1] "FYFSD has zero or negative values. Log series will be zero."
## [1] "FYFSGDA188S has zero or negative values. Log series will be zero."
## [1] "SOFR25 has zero or negative values. Log series will be zero."
## [1] "SOFR1 has zero or negative values. Log series will be zero."
## [1] "RPONTSYD has zero or negative values. Log series will be zero."
## [1] "BOPGTB has zero or negative values. Log series will be zero."
## [1] "EES.Volume has zero or negative values. Log series will be zero."
## [1] "VGSTX.Volume has zero or negative values. Log series will be zero."
## [1] "VFINX.Volume has zero or negative values. Log series will be zero."
## [1] "TMFGX.Volume has zero or negative values. Log series will be zero."
## [1] "FSMAX.Volume has zero or negative values. Log series will be zero."
## [1] "FXNAX.Volume has zero or negative values. Log series will be zero."
## [1] "HAINX.Volume has zero or negative values. Log series will be zero."
## [1] "HNACX.Volume has zero or negative values. Log series will be zero."
## [1] "VEIRX.Volume has zero or negative values. Log series will be zero."
## [1] "IVOO.Volume has zero or negative values. Log series will be zero."
## [1] "VO.Volume has zero or negative values. Log series will be zero."
## [1] "CZA.Volume has zero or negative values. Log series will be zero."
## [1] "SLY.Volume has zero or negative values. Log series will be zero."
## [1] "HYMB.Volume has zero or negative values. Log series will be zero."
## [1] "GOLD.Open has zero or negative values. Log series will be zero."
## [1] "GOLD.Volume has zero or negative values. Log series will be zero."
## [1] "BKR.Open has zero or negative values. Log series will be zero."
## [1] "BKR.Volume has zero or negative values. Log series will be zero."
## [1] "HAL.Open has zero or negative values. Log series will be zero."
## [1] "HAL.Volume has zero or negative values. Log series will be zero."
## [1] "IP.Open has zero or negative values. Log series will be zero."
## [1] "T.Open has zero or negative values. Log series will be zero."
## [1] "OPEARNINGSPERSHARE has zero or negative values. Log series will be zero."
## [1] "AREARNINGSPERSHARE has zero or negative values. Log series will be zero."
## [1] "OCCEquityVolume has zero or negative values. Log series will be zero."
## [1] "OCCNonEquityVolume has zero or negative values. Log series will be zero."
## [1] "BUSLOANS.minus.BUSLOANSNSA has zero or negative values. Log series will be zero."
## [1] "BUSLOANS.minus.BUSLOANSNSA.by.GDP has zero or negative values. Log series will be zero."
## [1] "EXPCH.minus.IMPCH has zero or negative values. Log series will be zero."
## [1] "EXPMX.minus.IMPMX has zero or negative values. Log series will be zero."
## [1] "SRPSABSNNCB.by.GDP has zero or negative values. Log series will be zero."
## [1] "DGS30TO10 has zero or negative values. Log series will be zero."
## [1] "DGS10TO1 has zero or negative values. Log series will be zero."
## [1] "DGS10TO2 has zero or negative values. Log series will be zero."
## [1] "DGS10TOTB3MS has zero or negative values. Log series will be zero."
## [1] "DGS10TODTB3 has zero or negative values. Log series will be zero."
## [1] "DCOILWTICO.by.PPIACO has zero or negative values. Log series will be zero."
## [1] "GSPC.DailySwing has zero or negative values. Log series will be zero."
df.data <- lst.df[[1]]
df.symbols <- lst.df[[2]]

Recession calculations

Summary calculations

These values are used below

Conclusion

In this worksheet a model predicting the onset of recession was built. From the model a trading rule was derived to allow backtesting. The model performed well and the trading rule backtesting showed that applying this in the post-WWII period would have resulted in an increase in returns. That is not too bad, but there are a few changes that would likely improve the model:

Market Conditions

#The model is predicting a `r paste(sprintf("%3.0f", tail(df.data$recession.initiation.smooth.avg,1)[[1]]*100), "%", sep="")` chance of recession in the next 12 months. :

#- P/E ratio of `r sprintf("%3.2f", tail(df.data$MULTPLSP500PERATIOMONTH,1))` compares to a historical mean value over the last decade of `r sprintf("%3.2f", df.data$MULTPLSP500PERATIOMONTH_Mean[1])`. Since 2008 recession P/E has only fallen below historical norm a few times. The current value is high, but well off the peaks. If earnings are +2-4% year-over-year then it is not unrealistic.

As of Feb 2020 we have entered a recession as defined by the NBER yet the market continues to rise.

P/E ratio of 26.30 compares to a historical mean value over the last decade of 18.84. Since 2008 recession P/E has only fallen below historical norm a few times. The current value is high, but well off the peaks. If earnings are +2-4% year-over-year then it is not unrealistic.

  • S&P 500 Volume, last updated on 2024-09-05, is flat over the last year and positive over the last month.

Unemployment

  • Headline unemployment (U-3) stands at 4.20% (last updated on 2024-08-01) which is near the 1-year average of 3.93% and rising with respect to the low in the last twelve months of 3.70%. Unlikely the rate will drop again.

  • Payrolls (BLS data, NSA) year-over-year stands at 1.02% which is above the 1-year average of 1.72% and falling with respect to the peak, in the last twelve months, of 2.00%.

  • Jobless claims (ICSA data) year-over-year stands at -0.13% (last updated on 2024-08-31) which is in-line with the 1-year average of -0.33% and below the peak, in the last twelve months, of 14.56%.
## Warning: Removed 1 rows containing missing values (geom_text).
## Warning: Removed 1 rows containing missing values (geom_hline).

Personal Income

  • Real personal income year over year growth stands at 1.26% (last updated on 2024-07-01). This is below the recent peak of 2.73%.

Yield Curve and Bond Market

  • The 10-year to 3-month yield stands at -1.19% (last updated on 2024-09-04). This is above the recent low of -1.45%. The trend is flat over the last year and negative over the last month.
## Warning: Removed 1 rows containing missing values (geom_text).
## Warning: Removed 1 rows containing missing values (geom_hline).

  • Auto sales flat?

Auxillary Series

I explored additional data series. The sections below have those data series along with comments.

Recent Highs

Print out the new 180 day high values

df.symbolsTrue <-
  df.symbols[df.symbols$'Max180' == TRUE, c("string.symbol", "string.description")]
df.symbolsTrue <-
  df.symbolsTrue[!(is.na(df.symbolsTrue$string.symbol)), ]
df.symbolsTrue <-
  df.symbolsTrue[!(df.symbolsTrue$string.symbol == 'USREC'), ]
#print(head(df.symbolsTrue,20))

kable(df.symbolsTrue, caption = "6-Month High") %>%
  kable_styling(bootstrap_options = c("striped", "hover"))  
6-Month High
string.symbol string.description
1 CPIAUCSL Consumer Price Index for All Urban Consumers: All Items
4 PCEPI Personal Consumption Expenditures: Chain-type Price Index
7 NPPTTL Total Nonfarm Private Payroll Employment (ADP)
9 U6RATE Total unemployed + margin + part-time U-6
11 TABSHNO Households and nonprofit organizations; total assets, Level
12 HNONWPDPI Household Net Worth, percent Dispsable Income
14 RRSFS Real Retail and Food Services Sales
15 RSALES Real Retail Sales (DISCONTINUED)
16 W875RX1 Real personal income excluding current transfer receipts
17 RPI Real personal income
51 IMPCH U.S. Imports of Goods by Customs Basis from China (Monthly, NSA)
60 REALLNNSA Real Estate Loans, All Commercial Banks (Monthly, NSA)
61 REALLN Real Estate Loans, All Commercial Banks (Monthly, SA)
63 RELACBW027SBOG Real Estate Loans, All Commercial Banks (Weekly, SA)
64 RREACBM027NBOG Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, NSA)
65 RREACBM027SBOG Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, SA)
66 RREACBW027SBOG Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, SA)
69 CONSUMERNSA Consumer Loans, All Commercial Banks
72 DRCLACBS Delinquency Rate on Consumer Loans, All Commercial Banks, SA
74 SRPSABSNNCB Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA)
75 ASTLL All sectors; total loans; liability, Level (NSA)
76 FBDILNECA Domestic financial sectors; depository institution loans n.e.c.; asset, Level (NSA)
77 ASOLAL All sectors; other loans and advances; liability, Level (NSA)
78 ASTMA All sectors; total mortgages; asset, Level (NSA)
79 ASHMA All sectors; home mortgages; asset, Level (NSA)
80 ASMRMA All sectors; multifamily residential mortgages; asset, Level (NSA)
81 ASCMA All sectors; commercial mortgages; asset, Level (NSA)
82 ASFMA All sectors; farm mortgages; asset, Level (NSA)
83 CCLBSHNO Households and nonprofit organizations; consumer credit; liability, Level (NSA)
84 FBDSILQ027S Domestic financial sectors debt securities; liability, Level (NSA)
85 FBLL Domestic financial sectors loans; liability, Level (NSA)
86 NCBDBIQ027S Nonfinancial corporate business; debt securities; liability, Level
110 GDP Gross Domestic Product
111 FNDEFX Federal Government: Nondefense Consumption Expenditures and Gross Investment (SA, Annual Rate)
112 FDEFX Federal Government: National Defense Consumption Expenditures and Gross Investment (SA, Annual Rate)
114 GDPC1 Real Gross Domestic Product
115 GDPDEF Gross Domestic Product: Implicit Price Deflator
118 FEDFUNDS Effective Federal Funds Rate
119 GPDI Gross Private Domestic Investment
120 W790RC1Q027SBEA Net domestic investment: Private: Domestic busines
121 MZMV Velocity of MZM Money Stock
122 M1 M1 Money Stock
123 M2 M2 Money Stock
124 OPHNFB Nonfarm Business Sector: Real Output Per Hour of All Persons, SA
132 GFDEBTN Federal Debt: Total Public Debt
138 DGORDER Manufacturers’ New Orders: Durable Goods (SA)
139 CSUSHPINSA S&P/Case-Shiller U.S. National Home Price Index (NSA)
141 FYFSD Federal Surplus or Deficit
142 FYFSGDA188S Federal Surplus or Deficit [-] as Percent of Gross Domestic Product
147 OUTMS Manufacturing Sector: Real Output
149 PRS30006163 Manufacturing Sector: Real Output Per Person
157 SOFR1 Secured Overnight Financing Rate: 1st Percentile
158 OBFR Overnight Bank Funding Rate
161 OBFR25 Overnight Bank Funding Rate: 25th Percentile
164 IOER Interest Rate on Excess Reserves
166 EXCSRESNW Excess Reserves of Depository Institutions
167 ECBASSETS Central Bank Assets for Euro Area (11-19 Countries)
168 EUNNGDP Gross Domestic Product (Euro/ECU series) for Euro Area (19 Countries)
169 CEU0600000007 Average Weekly Hours of Production and Nonsupervisory Employees: Goods-Producing
170 CURRENCY Currency Component of M1 (Seasonally Adjusted)
173 PRS88003193 Nonfinancial Corporations Sector: Unit Profits
174 PPIACO Producer Price Index for All Commodities
176 POPTHM Population (U.S.)
177 POPTHM Population (U.S.)
178 CLF16OV Civilian Labor Force Level, SA
182 RSAFS Advance Retail Sales: Retail and Food Services
183 FRGSHPUSM649NCIS Cass Freight Index: Shipments
186 A065RC1A027NBEA Personal income (NSA)
187 PI Personal income (SA)
188 PCE Personal Consumption Expenditures (SA)
189 A053RC1Q027SBEA National income: Corporate profits before tax (without IVA and CCAdj)
190 CPROFIT Corporate Profits with Inventory Valuation Adjustment (IVA) and Capital Consumption Adjustment (CCAdj)
227 ISMMANPMI Institute of Supply Managment PMI Composite Index
228 MULTPLSP500PERATIOMONTH S&P 500 TTM P/E
229 MULTPLSP500SALESQUARTER S&P 500 TTM Sales (Not Inflation Adjusted)
230 MULTPLSP500DIVYIELDMONTH S&P 500 Dividend Yield by Month
231 MULTPLSP500DIVMONTH S&P 500 Dividend by Month (Inflation Adjusted)
232 CHRISCMEHG1 Copper Futures, Continuous Contract #1 (HG1) (Front Month)
233 WWDIWLDISAIRGOODMTK1 Air transport, freight
235 PETA103600001M U.S. Total Gasoline Retail Sales by Refiners, Monthly
236 PETA123600001M U.S. Regular Gasoline Retail Sales by Refiners, Monthly
237 PETA143B00001M U.S. Midgrade Gasoline Retail Sales by Refiners, Monthly
238 PETA133B00001M U.S. Premium Gasoline Bulk Sales (Volume) by Refiners, Monthly
242 BKRTotal Total Rig Count
243 BKRGas Gas Rig Count
244 BKROil Oil Rig Count
245 FARMINCOME Net Farm Income
246 OPEARNINGSPERSHARE Operating Earnings per Share
247 AREARNINGSPERSHARE As-Reported Earnings per Share
248 CASHDIVIDENDSPERSHR Cash Dividends per Share
249 SALESPERSHR Sales per Share
250 BOOKVALPERSHR Book value per Share
251 CAPEXPERSHR Cap ex per Share
252 PRICE Price
253 OPEARNINGSTTM TTM Operating Earnings
254 AREARNINGSTTM TTM Reported Earnings
255 FINRAMarginDebt Margin Debt
256 FINRAFreeCreditMargin Free Credit Balances in Customers’ Securities Margin Accounts
257 OCCEquityVolume Equity Options Volume
258 OCCNonEquityVolume Non-Equity Options Volume
259 RSALESAGG Real Retail and Food Services Sales (RRSFS and RSALES)
260 BUSLOANS.minus.BUSLOANSNSA Business Loans (Montlhy) SA - NSA
261 BUSLOANS.minus.BUSLOANSNSA.by.GDP Business Loans (Montlhy) SA - NSA divided by GDP
270 W875RX1.by.GDP Real Personal Income Normalized by GDP
272 PI.by.GDP Personal Income (SA) Normalized by GDP
273 A053RC1Q027SBEA.by.GDP National income: Corporate profits before tax (without IVA and CCAdj) Normalized by GDP
274 CPROFIT.by.GDP National income: Corporate profits before tax (with IVA and CCAdj) Normalized by GDP
275 CONSUMERNSA.by.GDP Consumer Loans Not Seasonally Adjusted divided by GDP
276 RREACBM027NBOG.by.GDP Residental Real Estate Loans (Monthly, NSA) divided by GDP
277 RREACBM027SBOG.by.GDP Residental Real Estate Loans (Monthly, SA) divided by GDP
278 RREACBW027SBOG.by.GDP Residental Real Estate Loans (Weekly, SA) divided by GDP
281 DGORDER.by.GDP Durable Goods (Monthly, NSA) divided by GDP
287 TOTLNNSA Total Loans Not Seasonally Adjusted (BUSLOANS+REALLNSA+CONSUMERNSA)
288 TOTLNNSA.by.GDP Total Loans Not Seasonally Adjusted divided by GDP
300 ASFMA.by.ASTLL All sectors; total loans Divided by farm mortgages
308 DGS10TO1 Yield Curve, 10 and 1 Year Treasury (DGS10-DGS1)
309 DGS10TO2 Yield Curve, 10 and 2 Year Treasury (DGS10-DGS2)
312 DGS10ByAAA AAA ratio to 10 year treasury (AAA/DGS10)
316 U6toU3 U6RATE minums UNRATE
324 GDP.by.GDPDEF Nominal GDP Normalized by GDP def
347 CPIAUCSL_Log Log of Consumer Price Index for All Urban Consumers: All Items
348 CPIAUCSL_mva365 Consumer Price Index for All Urban Consumers: All Items 365 Day MA
349 CPIAUCSL_mva200 Consumer Price Index for All Urban Consumers: All Items 200 Day MA
350 CPIAUCSL_mva050 Consumer Price Index for All Urban Consumers: All Items 50 Day MA
351 USREC_YoY NBER based Recession Indicators Year over Year
352 USREC_YoY4 NBER based Recession Indicators 4 Year over 4 Year
353 USREC_YoY5 NBER based Recession Indicators 5 Year over 5 Year
354 USREC_Smooth Savitsky-Golay Smoothed (p=3, n=365) NBER based Recession Indicators
355 USREC_Smooth.short Savitsky-Golay Smoothed (p=3, n=15) NBER based Recession Indicators
356 USREC_SmoothDer Derivative of Smoothed NBER based Recession Indicators
357 USREC_Log Log of NBER based Recession Indicators
358 USREC_mva365 NBER based Recession Indicators 365 Day MA
359 USREC_mva200 NBER based Recession Indicators 200 Day MA
360 USREC_mva050 NBER based Recession Indicators 50 Day MA
362 UNRATE_YoY4 Civilian Unemployment Rate U-3 4 Year over 4 Year
366 UNRATE_SmoothDer Derivative of Smoothed Civilian Unemployment Rate U-3
368 UNRATE_mva365 Civilian Unemployment Rate U-3 365 Day MA
369 UNRATE_mva200 Civilian Unemployment Rate U-3 200 Day MA
377 PCEPI_Log Log of Personal Consumption Expenditures: Chain-type Price Index
378 PCEPI_mva365 Personal Consumption Expenditures: Chain-type Price Index 365 Day MA
379 PCEPI_mva200 Personal Consumption Expenditures: Chain-type Price Index 200 Day MA
380 PCEPI_mva050 Personal Consumption Expenditures: Chain-type Price Index 50 Day MA
384 CCSA_Smooth Savitsky-Golay Smoothed (p=3, n=365) Continued Claims (Insured Unemployment)
386 CCSA_SmoothDer Derivative of Smoothed Continued Claims (Insured Unemployment)
388 CCSA_mva365 Continued Claims (Insured Unemployment) 365 Day MA
389 CCSA_mva200 Continued Claims (Insured Unemployment) 200 Day MA
391 CCNSA_YoY Continued Claims (Insured Unemployment, NSA) Year over Year
393 CCNSA_YoY5 Continued Claims (Insured Unemployment, NSA) 5 Year over 5 Year
398 CCNSA_mva365 Continued Claims (Insured Unemployment, NSA) 365 Day MA
401 NPPTTL_YoY Total Nonfarm Private Payroll Employment (ADP) Year over Year
407 NPPTTL_Log Log of Total Nonfarm Private Payroll Employment (ADP)
408 NPPTTL_mva365 Total Nonfarm Private Payroll Employment (ADP) 365 Day MA
409 NPPTTL_mva200 Total Nonfarm Private Payroll Employment (ADP) 200 Day MA
410 NPPTTL_mva050 Total Nonfarm Private Payroll Employment (ADP) 50 Day MA
416 CEU0500000001_SmoothDer Derivative of Smoothed All Employees, Total Private (NSA)
418 CEU0500000001_mva365 All Employees, Total Private (NSA) 365 Day MA
419 CEU0500000001_mva200 All Employees, Total Private (NSA) 200 Day MA
422 U6RATE_YoY4 Total unemployed + margin + part-time U-6 4 Year over 4 Year
423 U6RATE_YoY5 Total unemployed + margin + part-time U-6 5 Year over 5 Year
424 U6RATE_Smooth Savitsky-Golay Smoothed (p=3, n=365) Total unemployed + margin + part-time U-6
426 U6RATE_SmoothDer Derivative of Smoothed Total unemployed + margin + part-time U-6
427 U6RATE_Log Log of Total unemployed + margin + part-time U-6
428 U6RATE_mva365 Total unemployed + margin + part-time U-6 365 Day MA
429 U6RATE_mva200 Total unemployed + margin + part-time U-6 200 Day MA
430 U6RATE_mva050 Total unemployed + margin + part-time U-6 50 Day MA
436 PAYNSA_SmoothDer Derivative of Smoothed All Employees: Total Nonfarm Payrolls (NSA)
438 PAYNSA_mva365 All Employees: Total Nonfarm Payrolls (NSA) 365 Day MA
439 PAYNSA_mva200 All Employees: Total Nonfarm Payrolls (NSA) 200 Day MA
444 TABSHNO_Smooth Savitsky-Golay Smoothed (p=3, n=365) Households and nonprofit organizations; total assets, Level
447 TABSHNO_Log Log of Households and nonprofit organizations; total assets, Level
448 TABSHNO_mva365 Households and nonprofit organizations; total assets, Level 365 Day MA
449 TABSHNO_mva200 Households and nonprofit organizations; total assets, Level 200 Day MA
450 TABSHNO_mva050 Households and nonprofit organizations; total assets, Level 50 Day MA
454 HNONWPDPI_Smooth Savitsky-Golay Smoothed (p=3, n=365) Household Net Worth, percent Dispsable Income
457 HNONWPDPI_Log Log of Household Net Worth, percent Dispsable Income
458 HNONWPDPI_mva365 Household Net Worth, percent Dispsable Income 365 Day MA
459 HNONWPDPI_mva200 Household Net Worth, percent Dispsable Income 200 Day MA
460 HNONWPDPI_mva050 Household Net Worth, percent Dispsable Income 50 Day MA
466 INDPRO_SmoothDer Derivative of Smoothed Industrial Production Index
469 INDPRO_mva200 Industrial Production Index 200 Day MA
474 RRSFS_Smooth Savitsky-Golay Smoothed (p=3, n=365) Real Retail and Food Services Sales
476 RRSFS_SmoothDer Derivative of Smoothed Real Retail and Food Services Sales
477 RRSFS_Log Log of Real Retail and Food Services Sales
480 RRSFS_mva050 Real Retail and Food Services Sales 50 Day MA
481 RSALES_YoY Real Retail Sales (DISCONTINUED) Year over Year
482 RSALES_YoY4 Real Retail Sales (DISCONTINUED) 4 Year over 4 Year
483 RSALES_YoY5 Real Retail Sales (DISCONTINUED) 5 Year over 5 Year
487 RSALES_Log Log of Real Retail Sales (DISCONTINUED)
488 RSALES_mva365 Real Retail Sales (DISCONTINUED) 365 Day MA
489 RSALES_mva200 Real Retail Sales (DISCONTINUED) 200 Day MA
490 RSALES_mva050 Real Retail Sales (DISCONTINUED) 50 Day MA
494 W875RX1_Smooth Savitsky-Golay Smoothed (p=3, n=365) Real personal income excluding current transfer receipts
496 W875RX1_SmoothDer Derivative of Smoothed Real personal income excluding current transfer receipts
497 W875RX1_Log Log of Real personal income excluding current transfer receipts
498 W875RX1_mva365 Real personal income excluding current transfer receipts 365 Day MA
499 W875RX1_mva200 Real personal income excluding current transfer receipts 200 Day MA
500 W875RX1_mva050 Real personal income excluding current transfer receipts 50 Day MA
504 RPI_Smooth Savitsky-Golay Smoothed (p=3, n=365) Real personal income
507 RPI_Log Log of Real personal income
508 RPI_mva365 Real personal income 365 Day MA
509 RPI_mva200 Real personal income 200 Day MA
510 RPI_mva050 Real personal income 50 Day MA
518 PCOPPUSDM_mva365 Global price of Copper 365 Day MA
519 PCOPPUSDM_mva200 Global price of Copper 200 Day MA
524 NOBL.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
528 NOBL.Open_mva365 365 Day MA
529 NOBL.Open_mva200 200 Day MA
530 NOBL.Open_mva050 50 Day MA
534 NOBL.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
538 NOBL.High_mva365 365 Day MA
539 NOBL.High_mva200 200 Day MA
540 NOBL.High_mva050 50 Day MA
544 NOBL.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
548 NOBL.Low_mva365 365 Day MA
549 NOBL.Low_mva200 200 Day MA
550 NOBL.Low_mva050 50 Day MA
554 NOBL.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
558 NOBL.Close_mva365 365 Day MA
559 NOBL.Close_mva200 200 Day MA
560 NOBL.Close_mva050 50 Day MA
564 NOBL.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
566 NOBL.Volume_SmoothDer Derivative of Smoothed
574 NOBL.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
578 NOBL.Adjusted_mva365 365 Day MA
579 NOBL.Adjusted_mva200 200 Day MA
580 NOBL.Adjusted_mva050 50 Day MA
584 SCHD.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
588 SCHD.Open_mva365 365 Day MA
589 SCHD.Open_mva200 200 Day MA
590 SCHD.Open_mva050 50 Day MA
594 SCHD.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
598 SCHD.High_mva365 365 Day MA
599 SCHD.High_mva200 200 Day MA
600 SCHD.High_mva050 50 Day MA
604 SCHD.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
608 SCHD.Low_mva365 365 Day MA
609 SCHD.Low_mva200 200 Day MA
610 SCHD.Low_mva050 50 Day MA
614 SCHD.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
618 SCHD.Close_mva365 365 Day MA
619 SCHD.Close_mva200 200 Day MA
620 SCHD.Close_mva050 50 Day MA
634 SCHD.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
638 SCHD.Adjusted_mva365 365 Day MA
639 SCHD.Adjusted_mva200 200 Day MA
640 SCHD.Adjusted_mva050 50 Day MA
648 PFF.Open_mva365 365 Day MA
649 PFF.Open_mva200 200 Day MA
658 PFF.High_mva365 365 Day MA
659 PFF.High_mva200 200 Day MA
668 PFF.Low_mva365 365 Day MA
669 PFF.Low_mva200 200 Day MA
675 PFF.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
678 PFF.Close_mva365 365 Day MA
679 PFF.Close_mva200 200 Day MA
688 PFF.Volume_mva365 365 Day MA
694 PFF.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
695 PFF.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
697 PFF.Adjusted_Log Log of
698 PFF.Adjusted_mva365 365 Day MA
699 PFF.Adjusted_mva200 200 Day MA
700 PFF.Adjusted_mva050 50 Day MA
708 HPI.Open_mva365 365 Day MA
709 HPI.Open_mva200 200 Day MA
710 HPI.Open_mva050 50 Day MA
714 HPI.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
715 HPI.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
718 HPI.High_mva365 365 Day MA
719 HPI.High_mva200 200 Day MA
720 HPI.High_mva050 50 Day MA
724 HPI.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
725 HPI.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
728 HPI.Low_mva365 365 Day MA
729 HPI.Low_mva200 200 Day MA
730 HPI.Low_mva050 50 Day MA
734 HPI.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
735 HPI.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
738 HPI.Close_mva365 365 Day MA
739 HPI.Close_mva200 200 Day MA
740 HPI.Close_mva050 50 Day MA
754 HPI.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
755 HPI.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
758 HPI.Adjusted_mva365 365 Day MA
759 HPI.Adjusted_mva200 200 Day MA
760 HPI.Adjusted_mva050 50 Day MA
764 GSFTX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
766 GSFTX.Open_SmoothDer Derivative of Smoothed
768 GSFTX.Open_mva365 365 Day MA
769 GSFTX.Open_mva200 200 Day MA
770 GSFTX.Open_mva050 50 Day MA
774 GSFTX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
776 GSFTX.High_SmoothDer Derivative of Smoothed
778 GSFTX.High_mva365 365 Day MA
779 GSFTX.High_mva200 200 Day MA
780 GSFTX.High_mva050 50 Day MA
784 GSFTX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
786 GSFTX.Low_SmoothDer Derivative of Smoothed
788 GSFTX.Low_mva365 365 Day MA
789 GSFTX.Low_mva200 200 Day MA
790 GSFTX.Low_mva050 50 Day MA
794 GSFTX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
796 GSFTX.Close_SmoothDer Derivative of Smoothed
798 GSFTX.Close_mva365 365 Day MA
799 GSFTX.Close_mva200 200 Day MA
800 GSFTX.Close_mva050 50 Day MA
801 GSFTX.Volume_YoY Year over Year
802 GSFTX.Volume_YoY4 4 Year over 4 Year
803 GSFTX.Volume_YoY5 5 Year over 5 Year
804 GSFTX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
805 GSFTX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
806 GSFTX.Volume_SmoothDer Derivative of Smoothed
807 GSFTX.Volume_Log Log of
808 GSFTX.Volume_mva365 365 Day MA
809 GSFTX.Volume_mva200 200 Day MA
810 GSFTX.Volume_mva050 50 Day MA
814 GSFTX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
818 GSFTX.Adjusted_mva365 365 Day MA
819 GSFTX.Adjusted_mva200 200 Day MA
820 GSFTX.Adjusted_mva050 50 Day MA
826 LFMIX.Open_SmoothDer Derivative of Smoothed
829 LFMIX.Open_mva200 200 Day MA
836 LFMIX.High_SmoothDer Derivative of Smoothed
839 LFMIX.High_mva200 200 Day MA
846 LFMIX.Low_SmoothDer Derivative of Smoothed
849 LFMIX.Low_mva200 200 Day MA
856 LFMIX.Close_SmoothDer Derivative of Smoothed
859 LFMIX.Close_mva200 200 Day MA
861 LFMIX.Volume_YoY Year over Year
862 LFMIX.Volume_YoY4 4 Year over 4 Year
863 LFMIX.Volume_YoY5 5 Year over 5 Year
864 LFMIX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
865 LFMIX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
866 LFMIX.Volume_SmoothDer Derivative of Smoothed
867 LFMIX.Volume_Log Log of
868 LFMIX.Volume_mva365 365 Day MA
869 LFMIX.Volume_mva200 200 Day MA
870 LFMIX.Volume_mva050 50 Day MA
879 LFMIX.Adjusted_mva200 200 Day MA
889 LFMCX.Open_mva200 200 Day MA
899 LFMCX.High_mva200 200 Day MA
909 LFMCX.Low_mva200 200 Day MA
919 LFMCX.Close_mva200 200 Day MA
921 LFMCX.Volume_YoY Year over Year
922 LFMCX.Volume_YoY4 4 Year over 4 Year
923 LFMCX.Volume_YoY5 5 Year over 5 Year
924 LFMCX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
925 LFMCX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
926 LFMCX.Volume_SmoothDer Derivative of Smoothed
927 LFMCX.Volume_Log Log of
928 LFMCX.Volume_mva365 365 Day MA
929 LFMCX.Volume_mva200 200 Day MA
930 LFMCX.Volume_mva050 50 Day MA
939 LFMCX.Adjusted_mva200 200 Day MA
946 LFMAX.Open_SmoothDer Derivative of Smoothed
949 LFMAX.Open_mva200 200 Day MA
956 LFMAX.High_SmoothDer Derivative of Smoothed
959 LFMAX.High_mva200 200 Day MA
966 LFMAX.Low_SmoothDer Derivative of Smoothed
969 LFMAX.Low_mva200 200 Day MA
976 LFMAX.Close_SmoothDer Derivative of Smoothed
979 LFMAX.Close_mva200 200 Day MA
981 LFMAX.Volume_YoY Year over Year
982 LFMAX.Volume_YoY4 4 Year over 4 Year
983 LFMAX.Volume_YoY5 5 Year over 5 Year
984 LFMAX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
985 LFMAX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
986 LFMAX.Volume_SmoothDer Derivative of Smoothed
987 LFMAX.Volume_Log Log of
988 LFMAX.Volume_mva365 365 Day MA
989 LFMAX.Volume_mva200 200 Day MA
990 LFMAX.Volume_mva050 50 Day MA
999 LFMAX.Adjusted_mva200 200 Day MA
1041 LCSIX.Volume_YoY Year over Year
1042 LCSIX.Volume_YoY4 4 Year over 4 Year
1043 LCSIX.Volume_YoY5 5 Year over 5 Year
1044 LCSIX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1045 LCSIX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1046 LCSIX.Volume_SmoothDer Derivative of Smoothed
1047 LCSIX.Volume_Log Log of
1048 LCSIX.Volume_mva365 365 Day MA
1049 LCSIX.Volume_mva200 200 Day MA
1050 LCSIX.Volume_mva050 50 Day MA
1061 BSV.Open_YoY Year over Year
1064 BSV.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1065 BSV.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1067 BSV.Open_Log Log of
1068 BSV.Open_mva365 365 Day MA
1069 BSV.Open_mva200 200 Day MA
1070 BSV.Open_mva050 50 Day MA
1074 BSV.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1075 BSV.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1078 BSV.High_mva365 365 Day MA
1079 BSV.High_mva200 200 Day MA
1080 BSV.High_mva050 50 Day MA
1084 BSV.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1085 BSV.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1087 BSV.Low_Log Log of
1088 BSV.Low_mva365 365 Day MA
1089 BSV.Low_mva200 200 Day MA
1090 BSV.Low_mva050 50 Day MA
1094 BSV.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1095 BSV.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1097 BSV.Close_Log Log of
1098 BSV.Close_mva365 365 Day MA
1099 BSV.Close_mva200 200 Day MA
1100 BSV.Close_mva050 50 Day MA
1101 BSV.Volume_YoY Year over Year
1104 BSV.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1105 BSV.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1106 BSV.Volume_SmoothDer Derivative of Smoothed
1113 BSV.Adjusted_YoY5 5 Year over 5 Year
1114 BSV.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1115 BSV.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1117 BSV.Adjusted_Log Log of
1118 BSV.Adjusted_mva365 365 Day MA
1119 BSV.Adjusted_mva200 200 Day MA
1120 BSV.Adjusted_mva050 50 Day MA
1122 VBIRX.Open_YoY4 4 Year over 4 Year
1124 VBIRX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1125 VBIRX.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1127 VBIRX.Open_Log Log of
1128 VBIRX.Open_mva365 365 Day MA
1129 VBIRX.Open_mva200 200 Day MA
1130 VBIRX.Open_mva050 50 Day MA
1132 VBIRX.High_YoY4 4 Year over 4 Year
1134 VBIRX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1135 VBIRX.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1137 VBIRX.High_Log Log of
1138 VBIRX.High_mva365 365 Day MA
1139 VBIRX.High_mva200 200 Day MA
1140 VBIRX.High_mva050 50 Day MA
1142 VBIRX.Low_YoY4 4 Year over 4 Year
1144 VBIRX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1145 VBIRX.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1147 VBIRX.Low_Log Log of
1148 VBIRX.Low_mva365 365 Day MA
1149 VBIRX.Low_mva200 200 Day MA
1150 VBIRX.Low_mva050 50 Day MA
1152 VBIRX.Close_YoY4 4 Year over 4 Year
1154 VBIRX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1155 VBIRX.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1157 VBIRX.Close_Log Log of
1158 VBIRX.Close_mva365 365 Day MA
1159 VBIRX.Close_mva200 200 Day MA
1160 VBIRX.Close_mva050 50 Day MA
1161 VBIRX.Volume_YoY Year over Year
1162 VBIRX.Volume_YoY4 4 Year over 4 Year
1163 VBIRX.Volume_YoY5 5 Year over 5 Year
1164 VBIRX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1165 VBIRX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1166 VBIRX.Volume_SmoothDer Derivative of Smoothed
1167 VBIRX.Volume_Log Log of
1168 VBIRX.Volume_mva365 365 Day MA
1169 VBIRX.Volume_mva200 200 Day MA
1170 VBIRX.Volume_mva050 50 Day MA
1172 VBIRX.Adjusted_YoY4 4 Year over 4 Year
1174 VBIRX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1175 VBIRX.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1177 VBIRX.Adjusted_Log Log of
1178 VBIRX.Adjusted_mva365 365 Day MA
1179 VBIRX.Adjusted_mva200 200 Day MA
1180 VBIRX.Adjusted_mva050 50 Day MA
1181 BIV.Open_YoY Year over Year
1184 BIV.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1185 BIV.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1187 BIV.Open_Log Log of
1189 BIV.Open_mva200 200 Day MA
1190 BIV.Open_mva050 50 Day MA
1194 BIV.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1195 BIV.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1197 BIV.High_Log Log of
1199 BIV.High_mva200 200 Day MA
1200 BIV.High_mva050 50 Day MA
1204 BIV.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1205 BIV.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1207 BIV.Low_Log Log of
1209 BIV.Low_mva200 200 Day MA
1210 BIV.Low_mva050 50 Day MA
1214 BIV.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1215 BIV.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1217 BIV.Close_Log Log of
1219 BIV.Close_mva200 200 Day MA
1220 BIV.Close_mva050 50 Day MA
1224 BIV.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1226 BIV.Volume_SmoothDer Derivative of Smoothed
1234 BIV.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1235 BIV.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1237 BIV.Adjusted_Log Log of
1238 BIV.Adjusted_mva365 365 Day MA
1239 BIV.Adjusted_mva200 200 Day MA
1240 BIV.Adjusted_mva050 50 Day MA
1243 VFSUX.Open_YoY5 5 Year over 5 Year
1244 VFSUX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1245 VFSUX.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1247 VFSUX.Open_Log Log of
1248 VFSUX.Open_mva365 365 Day MA
1249 VFSUX.Open_mva200 200 Day MA
1250 VFSUX.Open_mva050 50 Day MA
1253 VFSUX.High_YoY5 5 Year over 5 Year
1254 VFSUX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1255 VFSUX.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1257 VFSUX.High_Log Log of
1258 VFSUX.High_mva365 365 Day MA
1259 VFSUX.High_mva200 200 Day MA
1260 VFSUX.High_mva050 50 Day MA
1263 VFSUX.Low_YoY5 5 Year over 5 Year
1264 VFSUX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1265 VFSUX.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1267 VFSUX.Low_Log Log of
1268 VFSUX.Low_mva365 365 Day MA
1269 VFSUX.Low_mva200 200 Day MA
1270 VFSUX.Low_mva050 50 Day MA
1273 VFSUX.Close_YoY5 5 Year over 5 Year
1274 VFSUX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1275 VFSUX.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1277 VFSUX.Close_Log Log of
1278 VFSUX.Close_mva365 365 Day MA
1279 VFSUX.Close_mva200 200 Day MA
1280 VFSUX.Close_mva050 50 Day MA
1281 VFSUX.Volume_YoY Year over Year
1282 VFSUX.Volume_YoY4 4 Year over 4 Year
1283 VFSUX.Volume_YoY5 5 Year over 5 Year
1284 VFSUX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1285 VFSUX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1286 VFSUX.Volume_SmoothDer Derivative of Smoothed
1287 VFSUX.Volume_Log Log of
1288 VFSUX.Volume_mva365 365 Day MA
1289 VFSUX.Volume_mva200 200 Day MA
1290 VFSUX.Volume_mva050 50 Day MA
1293 VFSUX.Adjusted_YoY5 5 Year over 5 Year
1294 VFSUX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1295 VFSUX.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1297 VFSUX.Adjusted_Log Log of
1298 VFSUX.Adjusted_mva365 365 Day MA
1299 VFSUX.Adjusted_mva200 200 Day MA
1300 VFSUX.Adjusted_mva050 50 Day MA
1302 LTUIX.Open_YoY4 4 Year over 4 Year
1303 LTUIX.Open_YoY5 5 Year over 5 Year
1304 LTUIX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1305 LTUIX.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1307 LTUIX.Open_Log Log of
1308 LTUIX.Open_mva365 365 Day MA
1309 LTUIX.Open_mva200 200 Day MA
1310 LTUIX.Open_mva050 50 Day MA
1312 LTUIX.High_YoY4 4 Year over 4 Year
1313 LTUIX.High_YoY5 5 Year over 5 Year
1314 LTUIX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1315 LTUIX.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1317 LTUIX.High_Log Log of
1318 LTUIX.High_mva365 365 Day MA
1319 LTUIX.High_mva200 200 Day MA
1320 LTUIX.High_mva050 50 Day MA
1322 LTUIX.Low_YoY4 4 Year over 4 Year
1323 LTUIX.Low_YoY5 5 Year over 5 Year
1324 LTUIX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1325 LTUIX.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1327 LTUIX.Low_Log Log of
1328 LTUIX.Low_mva365 365 Day MA
1329 LTUIX.Low_mva200 200 Day MA
1330 LTUIX.Low_mva050 50 Day MA
1332 LTUIX.Close_YoY4 4 Year over 4 Year
1333 LTUIX.Close_YoY5 5 Year over 5 Year
1334 LTUIX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1335 LTUIX.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1337 LTUIX.Close_Log Log of
1338 LTUIX.Close_mva365 365 Day MA
1339 LTUIX.Close_mva200 200 Day MA
1340 LTUIX.Close_mva050 50 Day MA
1341 LTUIX.Volume_YoY Year over Year
1342 LTUIX.Volume_YoY4 4 Year over 4 Year
1343 LTUIX.Volume_YoY5 5 Year over 5 Year
1344 LTUIX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1345 LTUIX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1346 LTUIX.Volume_SmoothDer Derivative of Smoothed
1347 LTUIX.Volume_Log Log of
1348 LTUIX.Volume_mva365 365 Day MA
1349 LTUIX.Volume_mva200 200 Day MA
1350 LTUIX.Volume_mva050 50 Day MA
1352 LTUIX.Adjusted_YoY4 4 Year over 4 Year
1353 LTUIX.Adjusted_YoY5 5 Year over 5 Year
1354 LTUIX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1355 LTUIX.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1357 LTUIX.Adjusted_Log Log of
1358 LTUIX.Adjusted_mva365 365 Day MA
1359 LTUIX.Adjusted_mva200 200 Day MA
1360 LTUIX.Adjusted_mva050 50 Day MA
1364 PTTPX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1365 PTTPX.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1367 PTTPX.Open_Log Log of
1368 PTTPX.Open_mva365 365 Day MA
1369 PTTPX.Open_mva200 200 Day MA
1370 PTTPX.Open_mva050 50 Day MA
1374 PTTPX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1375 PTTPX.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1377 PTTPX.High_Log Log of
1378 PTTPX.High_mva365 365 Day MA
1379 PTTPX.High_mva200 200 Day MA
1380 PTTPX.High_mva050 50 Day MA
1384 PTTPX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1385 PTTPX.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1387 PTTPX.Low_Log Log of
1388 PTTPX.Low_mva365 365 Day MA
1389 PTTPX.Low_mva200 200 Day MA
1390 PTTPX.Low_mva050 50 Day MA
1394 PTTPX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1395 PTTPX.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1397 PTTPX.Close_Log Log of
1398 PTTPX.Close_mva365 365 Day MA
1399 PTTPX.Close_mva200 200 Day MA
1400 PTTPX.Close_mva050 50 Day MA
1401 PTTPX.Volume_YoY Year over Year
1402 PTTPX.Volume_YoY4 4 Year over 4 Year
1403 PTTPX.Volume_YoY5 5 Year over 5 Year
1404 PTTPX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1405 PTTPX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1406 PTTPX.Volume_SmoothDer Derivative of Smoothed
1407 PTTPX.Volume_Log Log of
1408 PTTPX.Volume_mva365 365 Day MA
1409 PTTPX.Volume_mva200 200 Day MA
1410 PTTPX.Volume_mva050 50 Day MA
1414 PTTPX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1415 PTTPX.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1417 PTTPX.Adjusted_Log Log of
1418 PTTPX.Adjusted_mva365 365 Day MA
1419 PTTPX.Adjusted_mva200 200 Day MA
1420 PTTPX.Adjusted_mva050 50 Day MA
1424 NERYX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1425 NERYX.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1427 NERYX.Open_Log Log of
1429 NERYX.Open_mva200 200 Day MA
1430 NERYX.Open_mva050 50 Day MA
1434 NERYX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1435 NERYX.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1437 NERYX.High_Log Log of
1439 NERYX.High_mva200 200 Day MA
1440 NERYX.High_mva050 50 Day MA
1444 NERYX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1445 NERYX.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1447 NERYX.Low_Log Log of
1449 NERYX.Low_mva200 200 Day MA
1450 NERYX.Low_mva050 50 Day MA
1454 NERYX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1455 NERYX.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1457 NERYX.Close_Log Log of
1459 NERYX.Close_mva200 200 Day MA
1460 NERYX.Close_mva050 50 Day MA
1461 NERYX.Volume_YoY Year over Year
1462 NERYX.Volume_YoY4 4 Year over 4 Year
1463 NERYX.Volume_YoY5 5 Year over 5 Year
1464 NERYX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1465 NERYX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1466 NERYX.Volume_SmoothDer Derivative of Smoothed
1467 NERYX.Volume_Log Log of
1468 NERYX.Volume_mva365 365 Day MA
1469 NERYX.Volume_mva200 200 Day MA
1470 NERYX.Volume_mva050 50 Day MA
1474 NERYX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1475 NERYX.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1477 NERYX.Adjusted_Log Log of
1478 NERYX.Adjusted_mva365 365 Day MA
1479 NERYX.Adjusted_mva200 200 Day MA
1480 NERYX.Adjusted_mva050 50 Day MA
1484 STIGX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1485 STIGX.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1487 STIGX.Open_Log Log of
1489 STIGX.Open_mva200 200 Day MA
1490 STIGX.Open_mva050 50 Day MA
1494 STIGX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1495 STIGX.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1497 STIGX.High_Log Log of
1499 STIGX.High_mva200 200 Day MA
1500 STIGX.High_mva050 50 Day MA
1504 STIGX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1505 STIGX.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1507 STIGX.Low_Log Log of
1509 STIGX.Low_mva200 200 Day MA
1510 STIGX.Low_mva050 50 Day MA
1514 STIGX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1515 STIGX.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1517 STIGX.Close_Log Log of
1519 STIGX.Close_mva200 200 Day MA
1520 STIGX.Close_mva050 50 Day MA
1521 STIGX.Volume_YoY Year over Year
1522 STIGX.Volume_YoY4 4 Year over 4 Year
1523 STIGX.Volume_YoY5 5 Year over 5 Year
1524 STIGX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1525 STIGX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1526 STIGX.Volume_SmoothDer Derivative of Smoothed
1527 STIGX.Volume_Log Log of
1528 STIGX.Volume_mva365 365 Day MA
1529 STIGX.Volume_mva200 200 Day MA
1530 STIGX.Volume_mva050 50 Day MA
1534 STIGX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1535 STIGX.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1537 STIGX.Adjusted_Log Log of
1538 STIGX.Adjusted_mva365 365 Day MA
1539 STIGX.Adjusted_mva200 200 Day MA
1540 STIGX.Adjusted_mva050 50 Day MA
1544 HLGAX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1545 HLGAX.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1547 HLGAX.Open_Log Log of
1549 HLGAX.Open_mva200 200 Day MA
1550 HLGAX.Open_mva050 50 Day MA
1554 HLGAX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1555 HLGAX.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1557 HLGAX.High_Log Log of
1559 HLGAX.High_mva200 200 Day MA
1560 HLGAX.High_mva050 50 Day MA
1564 HLGAX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1565 HLGAX.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1567 HLGAX.Low_Log Log of
1569 HLGAX.Low_mva200 200 Day MA
1570 HLGAX.Low_mva050 50 Day MA
1574 HLGAX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1575 HLGAX.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1577 HLGAX.Close_Log Log of
1579 HLGAX.Close_mva200 200 Day MA
1580 HLGAX.Close_mva050 50 Day MA
1581 HLGAX.Volume_YoY Year over Year
1582 HLGAX.Volume_YoY4 4 Year over 4 Year
1583 HLGAX.Volume_YoY5 5 Year over 5 Year
1584 HLGAX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1585 HLGAX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1586 HLGAX.Volume_SmoothDer Derivative of Smoothed
1587 HLGAX.Volume_Log Log of
1588 HLGAX.Volume_mva365 365 Day MA
1589 HLGAX.Volume_mva200 200 Day MA
1590 HLGAX.Volume_mva050 50 Day MA
1594 HLGAX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1595 HLGAX.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1597 HLGAX.Adjusted_Log Log of
1598 HLGAX.Adjusted_mva365 365 Day MA
1599 HLGAX.Adjusted_mva200 200 Day MA
1600 HLGAX.Adjusted_mva050 50 Day MA
1604 FTRGX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1605 FTRGX.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1607 FTRGX.Open_Log Log of
1610 FTRGX.Open_mva050 50 Day MA
1614 FTRGX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1615 FTRGX.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1617 FTRGX.High_Log Log of
1620 FTRGX.High_mva050 50 Day MA
1624 FTRGX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1625 FTRGX.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1627 FTRGX.Low_Log Log of
1630 FTRGX.Low_mva050 50 Day MA
1634 FTRGX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1635 FTRGX.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1637 FTRGX.Close_Log Log of
1640 FTRGX.Close_mva050 50 Day MA
1641 FTRGX.Volume_YoY Year over Year
1642 FTRGX.Volume_YoY4 4 Year over 4 Year
1643 FTRGX.Volume_YoY5 5 Year over 5 Year
1644 FTRGX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1645 FTRGX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1646 FTRGX.Volume_SmoothDer Derivative of Smoothed
1647 FTRGX.Volume_Log Log of
1648 FTRGX.Volume_mva365 365 Day MA
1649 FTRGX.Volume_mva200 200 Day MA
1650 FTRGX.Volume_mva050 50 Day MA
1654 FTRGX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1655 FTRGX.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1657 FTRGX.Adjusted_Log Log of
1658 FTRGX.Adjusted_mva365 365 Day MA
1659 FTRGX.Adjusted_mva200 200 Day MA
1660 FTRGX.Adjusted_mva050 50 Day MA
1664 THIIX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1665 THIIX.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1667 THIIX.Open_Log Log of
1668 THIIX.Open_mva365 365 Day MA
1669 THIIX.Open_mva200 200 Day MA
1670 THIIX.Open_mva050 50 Day MA
1674 THIIX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1675 THIIX.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1677 THIIX.High_Log Log of
1678 THIIX.High_mva365 365 Day MA
1679 THIIX.High_mva200 200 Day MA
1680 THIIX.High_mva050 50 Day MA
1684 THIIX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1685 THIIX.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1687 THIIX.Low_Log Log of
1688 THIIX.Low_mva365 365 Day MA
1689 THIIX.Low_mva200 200 Day MA
1690 THIIX.Low_mva050 50 Day MA
1694 THIIX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1695 THIIX.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1697 THIIX.Close_Log Log of
1698 THIIX.Close_mva365 365 Day MA
1699 THIIX.Close_mva200 200 Day MA
1700 THIIX.Close_mva050 50 Day MA
1701 THIIX.Volume_YoY Year over Year
1702 THIIX.Volume_YoY4 4 Year over 4 Year
1703 THIIX.Volume_YoY5 5 Year over 5 Year
1704 THIIX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1705 THIIX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1706 THIIX.Volume_SmoothDer Derivative of Smoothed
1707 THIIX.Volume_Log Log of
1708 THIIX.Volume_mva365 365 Day MA
1709 THIIX.Volume_mva200 200 Day MA
1710 THIIX.Volume_mva050 50 Day MA
1714 THIIX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1715 THIIX.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1717 THIIX.Adjusted_Log Log of
1718 THIIX.Adjusted_mva365 365 Day MA
1719 THIIX.Adjusted_mva200 200 Day MA
1720 THIIX.Adjusted_mva050 50 Day MA
1724 PTTRX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1725 PTTRX.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1727 PTTRX.Open_Log Log of
1728 PTTRX.Open_mva365 365 Day MA
1729 PTTRX.Open_mva200 200 Day MA
1730 PTTRX.Open_mva050 50 Day MA
1734 PTTRX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1735 PTTRX.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1737 PTTRX.High_Log Log of
1738 PTTRX.High_mva365 365 Day MA
1739 PTTRX.High_mva200 200 Day MA
1740 PTTRX.High_mva050 50 Day MA
1744 PTTRX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1745 PTTRX.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1747 PTTRX.Low_Log Log of
1748 PTTRX.Low_mva365 365 Day MA
1749 PTTRX.Low_mva200 200 Day MA
1750 PTTRX.Low_mva050 50 Day MA
1754 PTTRX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1755 PTTRX.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1757 PTTRX.Close_Log Log of
1758 PTTRX.Close_mva365 365 Day MA
1759 PTTRX.Close_mva200 200 Day MA
1760 PTTRX.Close_mva050 50 Day MA
1761 PTTRX.Volume_YoY Year over Year
1762 PTTRX.Volume_YoY4 4 Year over 4 Year
1763 PTTRX.Volume_YoY5 5 Year over 5 Year
1764 PTTRX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1765 PTTRX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1766 PTTRX.Volume_SmoothDer Derivative of Smoothed
1767 PTTRX.Volume_Log Log of
1768 PTTRX.Volume_mva365 365 Day MA
1769 PTTRX.Volume_mva200 200 Day MA
1770 PTTRX.Volume_mva050 50 Day MA
1774 PTTRX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1775 PTTRX.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1777 PTTRX.Adjusted_Log Log of
1778 PTTRX.Adjusted_mva365 365 Day MA
1779 PTTRX.Adjusted_mva200 200 Day MA
1780 PTTRX.Adjusted_mva050 50 Day MA
1784 BFIGX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1785 BFIGX.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1786 BFIGX.Open_SmoothDer Derivative of Smoothed
1787 BFIGX.Open_Log Log of
1788 BFIGX.Open_mva365 365 Day MA
1789 BFIGX.Open_mva200 200 Day MA
1790 BFIGX.Open_mva050 50 Day MA
1794 BFIGX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1795 BFIGX.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1796 BFIGX.High_SmoothDer Derivative of Smoothed
1797 BFIGX.High_Log Log of
1798 BFIGX.High_mva365 365 Day MA
1799 BFIGX.High_mva200 200 Day MA
1800 BFIGX.High_mva050 50 Day MA
1804 BFIGX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1805 BFIGX.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1806 BFIGX.Low_SmoothDer Derivative of Smoothed
1807 BFIGX.Low_Log Log of
1808 BFIGX.Low_mva365 365 Day MA
1809 BFIGX.Low_mva200 200 Day MA
1810 BFIGX.Low_mva050 50 Day MA
1814 BFIGX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1815 BFIGX.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1816 BFIGX.Close_SmoothDer Derivative of Smoothed
1817 BFIGX.Close_Log Log of
1818 BFIGX.Close_mva365 365 Day MA
1819 BFIGX.Close_mva200 200 Day MA
1820 BFIGX.Close_mva050 50 Day MA
1821 BFIGX.Volume_YoY Year over Year
1822 BFIGX.Volume_YoY4 4 Year over 4 Year
1823 BFIGX.Volume_YoY5 5 Year over 5 Year
1824 BFIGX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1825 BFIGX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1826 BFIGX.Volume_SmoothDer Derivative of Smoothed
1827 BFIGX.Volume_Log Log of
1828 BFIGX.Volume_mva365 365 Day MA
1829 BFIGX.Volume_mva200 200 Day MA
1830 BFIGX.Volume_mva050 50 Day MA
1834 BFIGX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1835 BFIGX.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1837 BFIGX.Adjusted_Log Log of
1838 BFIGX.Adjusted_mva365 365 Day MA
1839 BFIGX.Adjusted_mva200 200 Day MA
1840 BFIGX.Adjusted_mva050 50 Day MA
1844 VTWO.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1848 VTWO.Open_mva365 365 Day MA
1849 VTWO.Open_mva200 200 Day MA
1854 VTWO.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1858 VTWO.High_mva365 365 Day MA
1859 VTWO.High_mva200 200 Day MA
1864 VTWO.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1868 VTWO.Low_mva365 365 Day MA
1869 VTWO.Low_mva200 200 Day MA
1874 VTWO.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1878 VTWO.Close_mva365 365 Day MA
1879 VTWO.Close_mva200 200 Day MA
1885 VTWO.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1888 VTWO.Volume_mva365 365 Day MA
1894 VTWO.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1898 VTWO.Adjusted_mva365 365 Day MA
1899 VTWO.Adjusted_mva200 200 Day MA
1941 EIFAX.Volume_YoY Year over Year
1942 EIFAX.Volume_YoY4 4 Year over 4 Year
1943 EIFAX.Volume_YoY5 5 Year over 5 Year
1944 EIFAX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1945 EIFAX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1946 EIFAX.Volume_SmoothDer Derivative of Smoothed
1947 EIFAX.Volume_Log Log of
1948 EIFAX.Volume_mva365 365 Day MA
1949 EIFAX.Volume_mva200 200 Day MA
1950 EIFAX.Volume_mva050 50 Day MA
1958 EIFAX.Adjusted_mva365 365 Day MA
1959 EIFAX.Adjusted_mva200 200 Day MA
1960 EIFAX.Adjusted_mva050 50 Day MA
1964 ASDAX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1965 ASDAX.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1966 ASDAX.Open_SmoothDer Derivative of Smoothed
1967 ASDAX.Open_Log Log of
1968 ASDAX.Open_mva365 365 Day MA
1969 ASDAX.Open_mva200 200 Day MA
1970 ASDAX.Open_mva050 50 Day MA
1974 ASDAX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1975 ASDAX.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1976 ASDAX.High_SmoothDer Derivative of Smoothed
1977 ASDAX.High_Log Log of
1978 ASDAX.High_mva365 365 Day MA
1979 ASDAX.High_mva200 200 Day MA
1980 ASDAX.High_mva050 50 Day MA
1984 ASDAX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1985 ASDAX.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1986 ASDAX.Low_SmoothDer Derivative of Smoothed
1987 ASDAX.Low_Log Log of
1988 ASDAX.Low_mva365 365 Day MA
1989 ASDAX.Low_mva200 200 Day MA
1990 ASDAX.Low_mva050 50 Day MA
1994 ASDAX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
1995 ASDAX.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
1996 ASDAX.Close_SmoothDer Derivative of Smoothed
1997 ASDAX.Close_Log Log of
1998 ASDAX.Close_mva365 365 Day MA
1999 ASDAX.Close_mva200 200 Day MA
2000 ASDAX.Close_mva050 50 Day MA
2001 ASDAX.Volume_YoY Year over Year
2002 ASDAX.Volume_YoY4 4 Year over 4 Year
2003 ASDAX.Volume_YoY5 5 Year over 5 Year
2004 ASDAX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2005 ASDAX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
2006 ASDAX.Volume_SmoothDer Derivative of Smoothed
2007 ASDAX.Volume_Log Log of
2008 ASDAX.Volume_mva365 365 Day MA
2009 ASDAX.Volume_mva200 200 Day MA
2010 ASDAX.Volume_mva050 50 Day MA
2014 ASDAX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2015 ASDAX.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
2016 ASDAX.Adjusted_SmoothDer Derivative of Smoothed
2017 ASDAX.Adjusted_Log Log of
2018 ASDAX.Adjusted_mva365 365 Day MA
2019 ASDAX.Adjusted_mva200 200 Day MA
2020 ASDAX.Adjusted_mva050 50 Day MA
2023 TRBUX.Open_YoY5 5 Year over 5 Year
2024 TRBUX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2025 TRBUX.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
2027 TRBUX.Open_Log Log of
2028 TRBUX.Open_mva365 365 Day MA
2029 TRBUX.Open_mva200 200 Day MA
2030 TRBUX.Open_mva050 50 Day MA
2033 TRBUX.High_YoY5 5 Year over 5 Year
2034 TRBUX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2035 TRBUX.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
2037 TRBUX.High_Log Log of
2038 TRBUX.High_mva365 365 Day MA
2039 TRBUX.High_mva200 200 Day MA
2040 TRBUX.High_mva050 50 Day MA
2043 TRBUX.Low_YoY5 5 Year over 5 Year
2044 TRBUX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2045 TRBUX.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
2047 TRBUX.Low_Log Log of
2048 TRBUX.Low_mva365 365 Day MA
2049 TRBUX.Low_mva200 200 Day MA
2050 TRBUX.Low_mva050 50 Day MA
2053 TRBUX.Close_YoY5 5 Year over 5 Year
2054 TRBUX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2055 TRBUX.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
2057 TRBUX.Close_Log Log of
2058 TRBUX.Close_mva365 365 Day MA
2059 TRBUX.Close_mva200 200 Day MA
2060 TRBUX.Close_mva050 50 Day MA
2061 TRBUX.Volume_YoY Year over Year
2062 TRBUX.Volume_YoY4 4 Year over 4 Year
2063 TRBUX.Volume_YoY5 5 Year over 5 Year
2064 TRBUX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2065 TRBUX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
2066 TRBUX.Volume_SmoothDer Derivative of Smoothed
2067 TRBUX.Volume_Log Log of
2068 TRBUX.Volume_mva365 365 Day MA
2069 TRBUX.Volume_mva200 200 Day MA
2070 TRBUX.Volume_mva050 50 Day MA
2074 TRBUX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2075 TRBUX.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
2077 TRBUX.Adjusted_Log Log of
2078 TRBUX.Adjusted_mva365 365 Day MA
2079 TRBUX.Adjusted_mva200 200 Day MA
2080 TRBUX.Adjusted_mva050 50 Day MA
2084 PRVIX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2086 PRVIX.Open_SmoothDer Derivative of Smoothed
2088 PRVIX.Open_mva365 365 Day MA
2089 PRVIX.Open_mva200 200 Day MA
2094 PRVIX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2096 PRVIX.High_SmoothDer Derivative of Smoothed
2098 PRVIX.High_mva365 365 Day MA
2099 PRVIX.High_mva200 200 Day MA
2104 PRVIX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2106 PRVIX.Low_SmoothDer Derivative of Smoothed
2108 PRVIX.Low_mva365 365 Day MA
2109 PRVIX.Low_mva200 200 Day MA
2114 PRVIX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2116 PRVIX.Close_SmoothDer Derivative of Smoothed
2118 PRVIX.Close_mva365 365 Day MA
2119 PRVIX.Close_mva200 200 Day MA
2121 PRVIX.Volume_YoY Year over Year
2122 PRVIX.Volume_YoY4 4 Year over 4 Year
2123 PRVIX.Volume_YoY5 5 Year over 5 Year
2124 PRVIX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2125 PRVIX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
2126 PRVIX.Volume_SmoothDer Derivative of Smoothed
2127 PRVIX.Volume_Log Log of
2128 PRVIX.Volume_mva365 365 Day MA
2129 PRVIX.Volume_mva200 200 Day MA
2130 PRVIX.Volume_mva050 50 Day MA
2134 PRVIX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2136 PRVIX.Adjusted_SmoothDer Derivative of Smoothed
2138 PRVIX.Adjusted_mva365 365 Day MA
2139 PRVIX.Adjusted_mva200 200 Day MA
2144 PRWCX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2146 PRWCX.Open_SmoothDer Derivative of Smoothed
2148 PRWCX.Open_mva365 365 Day MA
2149 PRWCX.Open_mva200 200 Day MA
2150 PRWCX.Open_mva050 50 Day MA
2154 PRWCX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2156 PRWCX.High_SmoothDer Derivative of Smoothed
2158 PRWCX.High_mva365 365 Day MA
2159 PRWCX.High_mva200 200 Day MA
2160 PRWCX.High_mva050 50 Day MA
2164 PRWCX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2166 PRWCX.Low_SmoothDer Derivative of Smoothed
2168 PRWCX.Low_mva365 365 Day MA
2169 PRWCX.Low_mva200 200 Day MA
2170 PRWCX.Low_mva050 50 Day MA
2174 PRWCX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2176 PRWCX.Close_SmoothDer Derivative of Smoothed
2178 PRWCX.Close_mva365 365 Day MA
2179 PRWCX.Close_mva200 200 Day MA
2180 PRWCX.Close_mva050 50 Day MA
2181 PRWCX.Volume_YoY Year over Year
2182 PRWCX.Volume_YoY4 4 Year over 4 Year
2183 PRWCX.Volume_YoY5 5 Year over 5 Year
2184 PRWCX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2185 PRWCX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
2186 PRWCX.Volume_SmoothDer Derivative of Smoothed
2187 PRWCX.Volume_Log Log of
2188 PRWCX.Volume_mva365 365 Day MA
2189 PRWCX.Volume_mva200 200 Day MA
2190 PRWCX.Volume_mva050 50 Day MA
2194 PRWCX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2198 PRWCX.Adjusted_mva365 365 Day MA
2199 PRWCX.Adjusted_mva200 200 Day MA
2200 PRWCX.Adjusted_mva050 50 Day MA
2203 ADOZX.Open_YoY5 5 Year over 5 Year
2208 ADOZX.Open_mva365 365 Day MA
2209 ADOZX.Open_mva200 200 Day MA
2213 ADOZX.High_YoY5 5 Year over 5 Year
2218 ADOZX.High_mva365 365 Day MA
2219 ADOZX.High_mva200 200 Day MA
2223 ADOZX.Low_YoY5 5 Year over 5 Year
2228 ADOZX.Low_mva365 365 Day MA
2229 ADOZX.Low_mva200 200 Day MA
2233 ADOZX.Close_YoY5 5 Year over 5 Year
2238 ADOZX.Close_mva365 365 Day MA
2239 ADOZX.Close_mva200 200 Day MA
2241 ADOZX.Volume_YoY Year over Year
2242 ADOZX.Volume_YoY4 4 Year over 4 Year
2243 ADOZX.Volume_YoY5 5 Year over 5 Year
2244 ADOZX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2245 ADOZX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
2246 ADOZX.Volume_SmoothDer Derivative of Smoothed
2247 ADOZX.Volume_Log Log of
2248 ADOZX.Volume_mva365 365 Day MA
2249 ADOZX.Volume_mva200 200 Day MA
2250 ADOZX.Volume_mva050 50 Day MA
2253 ADOZX.Adjusted_YoY5 5 Year over 5 Year
2258 ADOZX.Adjusted_mva365 365 Day MA
2259 ADOZX.Adjusted_mva200 200 Day MA
2264 MERFX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2266 MERFX.Open_SmoothDer Derivative of Smoothed
2268 MERFX.Open_mva365 365 Day MA
2269 MERFX.Open_mva200 200 Day MA
2274 MERFX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2276 MERFX.High_SmoothDer Derivative of Smoothed
2278 MERFX.High_mva365 365 Day MA
2279 MERFX.High_mva200 200 Day MA
2284 MERFX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2286 MERFX.Low_SmoothDer Derivative of Smoothed
2288 MERFX.Low_mva365 365 Day MA
2289 MERFX.Low_mva200 200 Day MA
2294 MERFX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2296 MERFX.Close_SmoothDer Derivative of Smoothed
2298 MERFX.Close_mva365 365 Day MA
2299 MERFX.Close_mva200 200 Day MA
2301 MERFX.Volume_YoY Year over Year
2302 MERFX.Volume_YoY4 4 Year over 4 Year
2303 MERFX.Volume_YoY5 5 Year over 5 Year
2304 MERFX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2305 MERFX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
2306 MERFX.Volume_SmoothDer Derivative of Smoothed
2307 MERFX.Volume_Log Log of
2308 MERFX.Volume_mva365 365 Day MA
2309 MERFX.Volume_mva200 200 Day MA
2310 MERFX.Volume_mva050 50 Day MA
2314 MERFX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2318 MERFX.Adjusted_mva365 365 Day MA
2319 MERFX.Adjusted_mva200 200 Day MA
2324 CMNIX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2326 CMNIX.Open_SmoothDer Derivative of Smoothed
2328 CMNIX.Open_mva365 365 Day MA
2329 CMNIX.Open_mva200 200 Day MA
2330 CMNIX.Open_mva050 50 Day MA
2334 CMNIX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2336 CMNIX.High_SmoothDer Derivative of Smoothed
2338 CMNIX.High_mva365 365 Day MA
2339 CMNIX.High_mva200 200 Day MA
2340 CMNIX.High_mva050 50 Day MA
2344 CMNIX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2346 CMNIX.Low_SmoothDer Derivative of Smoothed
2348 CMNIX.Low_mva365 365 Day MA
2349 CMNIX.Low_mva200 200 Day MA
2350 CMNIX.Low_mva050 50 Day MA
2354 CMNIX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2356 CMNIX.Close_SmoothDer Derivative of Smoothed
2358 CMNIX.Close_mva365 365 Day MA
2359 CMNIX.Close_mva200 200 Day MA
2360 CMNIX.Close_mva050 50 Day MA
2361 CMNIX.Volume_YoY Year over Year
2362 CMNIX.Volume_YoY4 4 Year over 4 Year
2363 CMNIX.Volume_YoY5 5 Year over 5 Year
2364 CMNIX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2365 CMNIX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
2366 CMNIX.Volume_SmoothDer Derivative of Smoothed
2367 CMNIX.Volume_Log Log of
2368 CMNIX.Volume_mva365 365 Day MA
2369 CMNIX.Volume_mva200 200 Day MA
2370 CMNIX.Volume_mva050 50 Day MA
2374 CMNIX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2376 CMNIX.Adjusted_SmoothDer Derivative of Smoothed
2378 CMNIX.Adjusted_mva365 365 Day MA
2379 CMNIX.Adjusted_mva200 200 Day MA
2380 CMNIX.Adjusted_mva050 50 Day MA
2384 CIHEX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2388 CIHEX.Open_mva365 365 Day MA
2389 CIHEX.Open_mva200 200 Day MA
2394 CIHEX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2398 CIHEX.High_mva365 365 Day MA
2399 CIHEX.High_mva200 200 Day MA
2404 CIHEX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2408 CIHEX.Low_mva365 365 Day MA
2409 CIHEX.Low_mva200 200 Day MA
2414 CIHEX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2418 CIHEX.Close_mva365 365 Day MA
2419 CIHEX.Close_mva200 200 Day MA
2421 CIHEX.Volume_YoY Year over Year
2422 CIHEX.Volume_YoY4 4 Year over 4 Year
2423 CIHEX.Volume_YoY5 5 Year over 5 Year
2424 CIHEX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2425 CIHEX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
2426 CIHEX.Volume_SmoothDer Derivative of Smoothed
2427 CIHEX.Volume_Log Log of
2428 CIHEX.Volume_mva365 365 Day MA
2429 CIHEX.Volume_mva200 200 Day MA
2430 CIHEX.Volume_mva050 50 Day MA
2434 CIHEX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2438 CIHEX.Adjusted_mva365 365 Day MA
2439 CIHEX.Adjusted_mva200 200 Day MA
2443 IMPCH_YoY5 U.S. Imports of Goods by Customs Basis from China (Monthly, NSA) 5 Year over 5 Year
2444 IMPCH_Smooth Savitsky-Golay Smoothed (p=3, n=365) U.S. Imports of Goods by Customs Basis from China (Monthly, NSA)
2446 IMPCH_SmoothDer Derivative of Smoothed U.S. Imports of Goods by Customs Basis from China (Monthly, NSA)
2447 IMPCH_Log Log of U.S. Imports of Goods by Customs Basis from China (Monthly, NSA)
2448 IMPCH_mva365 U.S. Imports of Goods by Customs Basis from China (Monthly, NSA) 365 Day MA
2449 IMPCH_mva200 U.S. Imports of Goods by Customs Basis from China (Monthly, NSA) 200 Day MA
2450 IMPCH_mva050 U.S. Imports of Goods by Customs Basis from China (Monthly, NSA) 50 Day MA
2456 EXPCH_SmoothDer Derivative of Smoothed U.S. Exports of Goods by F.A.S. Basis to China, Mainland (Monthly, NSA)
2468 IMPMX_mva365 U.S. Imports of Goods by Customs Basis from Mexico (Monthly, NSA) 365 Day MA
2469 IMPMX_mva200 U.S. Imports of Goods by Customs Basis from Mexico (Monthly, NSA) 200 Day MA
2476 EXPMX_SmoothDer Derivative of Smoothed U.S. Exports of Goods by F.A.S. Basis to Mexico (Monthly, NSA)
2478 EXPMX_mva365 U.S. Exports of Goods by F.A.S. Basis to Mexico (Monthly, NSA) 365 Day MA
2479 EXPMX_mva200 U.S. Exports of Goods by F.A.S. Basis to Mexico (Monthly, NSA) 200 Day MA
2488 HSN1FNSA_mva365 New One Family Houses Sold: United States (Monthly, NSA) 365 Day MA
2489 HSN1FNSA_mva200 New One Family Houses Sold: United States (Monthly, NSA) 200 Day MA
2494 HNFSUSNSA_Smooth Savitsky-Golay Smoothed (p=3, n=365) New One Family Houses for Sale in the United States (Monthly, NSA)
2498 HNFSUSNSA_mva365 New One Family Houses for Sale in the United States (Monthly, NSA) 365 Day MA
2499 HNFSUSNSA_mva200 New One Family Houses for Sale in the United States (Monthly, NSA) 200 Day MA
2504 BUSLOANS_Smooth Savitsky-Golay Smoothed (p=3, n=365) Commercial and Industrial Loans, All Commercial Banks (Monthly, SA)
2506 BUSLOANS_SmoothDer Derivative of Smoothed Commercial and Industrial Loans, All Commercial Banks (Monthly, SA)
2508 BUSLOANS_mva365 Commercial and Industrial Loans, All Commercial Banks (Monthly, SA) 365 Day MA
2509 BUSLOANS_mva200 Commercial and Industrial Loans, All Commercial Banks (Monthly, SA) 200 Day MA
2514 TOTCI_Smooth Savitsky-Golay Smoothed (p=3, n=365) Commercial and Industrial Loans, All Commercial Banks (Weekly, SA)
2516 TOTCI_SmoothDer Derivative of Smoothed Commercial and Industrial Loans, All Commercial Banks (Weekly, SA)
2519 TOTCI_mva200 Commercial and Industrial Loans, All Commercial Banks (Weekly, SA) 200 Day MA
2528 BUSLOANSNSA_mva365 Commercial and Industrial Loans, All Commercial Banks (Monthly, NSA) 365 Day MA
2529 BUSLOANSNSA_mva200 Commercial and Industrial Loans, All Commercial Banks (Monthly, NSA) 200 Day MA
2537 REALLNNSA_Log Log of Real Estate Loans, All Commercial Banks (Monthly, NSA)
2538 REALLNNSA_mva365 Real Estate Loans, All Commercial Banks (Monthly, NSA) 365 Day MA
2539 REALLNNSA_mva200 Real Estate Loans, All Commercial Banks (Monthly, NSA) 200 Day MA
2540 REALLNNSA_mva050 Real Estate Loans, All Commercial Banks (Monthly, NSA) 50 Day MA
2542 REALLN_YoY4 Real Estate Loans, All Commercial Banks (Monthly, SA) 4 Year over 4 Year
2547 REALLN_Log Log of Real Estate Loans, All Commercial Banks (Monthly, SA)
2548 REALLN_mva365 Real Estate Loans, All Commercial Banks (Monthly, SA) 365 Day MA
2549 REALLN_mva200 Real Estate Loans, All Commercial Banks (Monthly, SA) 200 Day MA
2550 REALLN_mva050 Real Estate Loans, All Commercial Banks (Monthly, SA) 50 Day MA
2554 RELACBW027NBOG_Smooth Savitsky-Golay Smoothed (p=3, n=365) Real Estate Loans, All Commercial Banks (Weekly, NSA)
2558 RELACBW027NBOG_mva365 Real Estate Loans, All Commercial Banks (Weekly, NSA) 365 Day MA
2559 RELACBW027NBOG_mva200 Real Estate Loans, All Commercial Banks (Weekly, NSA) 200 Day MA
2560 RELACBW027NBOG_mva050 Real Estate Loans, All Commercial Banks (Weekly, NSA) 50 Day MA
2567 RELACBW027SBOG_Log Log of Real Estate Loans, All Commercial Banks (Weekly, SA)
2568 RELACBW027SBOG_mva365 Real Estate Loans, All Commercial Banks (Weekly, SA) 365 Day MA
2569 RELACBW027SBOG_mva200 Real Estate Loans, All Commercial Banks (Weekly, SA) 200 Day MA
2570 RELACBW027SBOG_mva050 Real Estate Loans, All Commercial Banks (Weekly, SA) 50 Day MA
2572 RREACBM027NBOG_YoY4 Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, NSA) 4 Year over 4 Year
2574 RREACBM027NBOG_Smooth Savitsky-Golay Smoothed (p=3, n=365) Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, NSA)
2576 RREACBM027NBOG_SmoothDer Derivative of Smoothed Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, NSA)
2577 RREACBM027NBOG_Log Log of Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, NSA)
2578 RREACBM027NBOG_mva365 Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, NSA) 365 Day MA
2579 RREACBM027NBOG_mva200 Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, NSA) 200 Day MA
2580 RREACBM027NBOG_mva050 Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, NSA) 50 Day MA
2582 RREACBM027SBOG_YoY4 Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, SA) 4 Year over 4 Year
2587 RREACBM027SBOG_Log Log of Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, SA)
2588 RREACBM027SBOG_mva365 Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, SA) 365 Day MA
2589 RREACBM027SBOG_mva200 Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, SA) 200 Day MA
2590 RREACBM027SBOG_mva050 Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, SA) 50 Day MA
2592 RREACBW027SBOG_YoY4 Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, SA) 4 Year over 4 Year
2597 RREACBW027SBOG_Log Log of Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, SA)
2598 RREACBW027SBOG_mva365 Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, SA) 365 Day MA
2599 RREACBW027SBOG_mva200 Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, SA) 200 Day MA
2600 RREACBW027SBOG_mva050 Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, SA) 50 Day MA
2604 RREACBW027NBOG_Smooth Savitsky-Golay Smoothed (p=3, n=365) Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, NSA)
2606 RREACBW027NBOG_SmoothDer Derivative of Smoothed Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, NSA)
2608 RREACBW027NBOG_mva365 Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, NSA) 365 Day MA
2609 RREACBW027NBOG_mva200 Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, NSA) 200 Day MA
2610 RREACBW027NBOG_mva050 Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, NSA) 50 Day MA
2616 MORTGAGE30US_SmoothDer Derivative of Smoothed 30-Year Fixed Rate Mortgage Average in the United States
2624 CONSUMERNSA_Smooth Savitsky-Golay Smoothed (p=3, n=365) Consumer Loans, All Commercial Banks
2626 CONSUMERNSA_SmoothDer Derivative of Smoothed Consumer Loans, All Commercial Banks
2627 CONSUMERNSA_Log Log of Consumer Loans, All Commercial Banks
2628 CONSUMERNSA_mva365 Consumer Loans, All Commercial Banks 365 Day MA
2630 CONSUMERNSA_mva050 Consumer Loans, All Commercial Banks 50 Day MA
2634 TOTLLNSA_Smooth Savitsky-Golay Smoothed (p=3, n=365) Loans and Leases in Bank Credit, All Commercial Banks
2636 TOTLLNSA_SmoothDer Derivative of Smoothed Loans and Leases in Bank Credit, All Commercial Banks
2638 TOTLLNSA_mva365 Loans and Leases in Bank Credit, All Commercial Banks 365 Day MA
2639 TOTLLNSA_mva200 Loans and Leases in Bank Credit, All Commercial Banks 200 Day MA
2640 TOTLLNSA_mva050 Loans and Leases in Bank Credit, All Commercial Banks 50 Day MA
2648 DPSACBW027SBOG_mva365 Deposits, All Commercial Banks 365 Day MA
2649 DPSACBW027SBOG_mva200 Deposits, All Commercial Banks 200 Day MA
2650 DPSACBW027SBOG_mva050 Deposits, All Commercial Banks 50 Day MA
2653 DRCLACBS_YoY5 Delinquency Rate on Consumer Loans, All Commercial Banks, SA 5 Year over 5 Year
2657 DRCLACBS_Log Log of Delinquency Rate on Consumer Loans, All Commercial Banks, SA
2658 DRCLACBS_mva365 Delinquency Rate on Consumer Loans, All Commercial Banks, SA 365 Day MA
2659 DRCLACBS_mva200 Delinquency Rate on Consumer Loans, All Commercial Banks, SA 200 Day MA
2660 DRCLACBS_mva050 Delinquency Rate on Consumer Loans, All Commercial Banks, SA 50 Day MA
2671 SRPSABSNNCB_YoY Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA) Year over Year
2677 SRPSABSNNCB_Log Log of Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA)
2680 SRPSABSNNCB_mva050 Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA) 50 Day MA
2684 ASTLL_Smooth Savitsky-Golay Smoothed (p=3, n=365) All sectors; total loans; liability, Level (NSA)
2687 ASTLL_Log Log of All sectors; total loans; liability, Level (NSA)
2688 ASTLL_mva365 All sectors; total loans; liability, Level (NSA) 365 Day MA
2689 ASTLL_mva200 All sectors; total loans; liability, Level (NSA) 200 Day MA
2690 ASTLL_mva050 All sectors; total loans; liability, Level (NSA) 50 Day MA
2692 FBDILNECA_YoY4 Domestic financial sectors; depository institution loans n.e.c.; asset, Level (NSA) 4 Year over 4 Year
2694 FBDILNECA_Smooth Savitsky-Golay Smoothed (p=3, n=365) Domestic financial sectors; depository institution loans n.e.c.; asset, Level (NSA)
2696 FBDILNECA_SmoothDer Derivative of Smoothed Domestic financial sectors; depository institution loans n.e.c.; asset, Level (NSA)
2697 FBDILNECA_Log Log of Domestic financial sectors; depository institution loans n.e.c.; asset, Level (NSA)
2698 FBDILNECA_mva365 Domestic financial sectors; depository institution loans n.e.c.; asset, Level (NSA) 365 Day MA
2700 FBDILNECA_mva050 Domestic financial sectors; depository institution loans n.e.c.; asset, Level (NSA) 50 Day MA
2704 ASOLAL_Smooth Savitsky-Golay Smoothed (p=3, n=365) All sectors; other loans and advances; liability, Level (NSA)
2707 ASOLAL_Log Log of All sectors; other loans and advances; liability, Level (NSA)
2708 ASOLAL_mva365 All sectors; other loans and advances; liability, Level (NSA) 365 Day MA
2709 ASOLAL_mva200 All sectors; other loans and advances; liability, Level (NSA) 200 Day MA
2710 ASOLAL_mva050 All sectors; other loans and advances; liability, Level (NSA) 50 Day MA
2714 ASTMA_Smooth Savitsky-Golay Smoothed (p=3, n=365) All sectors; total mortgages; asset, Level (NSA)
2717 ASTMA_Log Log of All sectors; total mortgages; asset, Level (NSA)
2718 ASTMA_mva365 All sectors; total mortgages; asset, Level (NSA) 365 Day MA
2719 ASTMA_mva200 All sectors; total mortgages; asset, Level (NSA) 200 Day MA
2720 ASTMA_mva050 All sectors; total mortgages; asset, Level (NSA) 50 Day MA
2724 ASHMA_Smooth Savitsky-Golay Smoothed (p=3, n=365) All sectors; home mortgages; asset, Level (NSA)
2727 ASHMA_Log Log of All sectors; home mortgages; asset, Level (NSA)
2728 ASHMA_mva365 All sectors; home mortgages; asset, Level (NSA) 365 Day MA
2729 ASHMA_mva200 All sectors; home mortgages; asset, Level (NSA) 200 Day MA
2730 ASHMA_mva050 All sectors; home mortgages; asset, Level (NSA) 50 Day MA
2734 ASMRMA_Smooth Savitsky-Golay Smoothed (p=3, n=365) All sectors; multifamily residential mortgages; asset, Level (NSA)
2737 ASMRMA_Log Log of All sectors; multifamily residential mortgages; asset, Level (NSA)
2738 ASMRMA_mva365 All sectors; multifamily residential mortgages; asset, Level (NSA) 365 Day MA
2739 ASMRMA_mva200 All sectors; multifamily residential mortgages; asset, Level (NSA) 200 Day MA
2740 ASMRMA_mva050 All sectors; multifamily residential mortgages; asset, Level (NSA) 50 Day MA
2744 ASCMA_Smooth Savitsky-Golay Smoothed (p=3, n=365) All sectors; commercial mortgages; asset, Level (NSA)
2747 ASCMA_Log Log of All sectors; commercial mortgages; asset, Level (NSA)
2748 ASCMA_mva365 All sectors; commercial mortgages; asset, Level (NSA) 365 Day MA
2749 ASCMA_mva200 All sectors; commercial mortgages; asset, Level (NSA) 200 Day MA
2750 ASCMA_mva050 All sectors; commercial mortgages; asset, Level (NSA) 50 Day MA
2754 ASFMA_Smooth Savitsky-Golay Smoothed (p=3, n=365) All sectors; farm mortgages; asset, Level (NSA)
2757 ASFMA_Log Log of All sectors; farm mortgages; asset, Level (NSA)
2758 ASFMA_mva365 All sectors; farm mortgages; asset, Level (NSA) 365 Day MA
2759 ASFMA_mva200 All sectors; farm mortgages; asset, Level (NSA) 200 Day MA
2760 ASFMA_mva050 All sectors; farm mortgages; asset, Level (NSA) 50 Day MA
2766 CCLBSHNO_SmoothDer Derivative of Smoothed Households and nonprofit organizations; consumer credit; liability, Level (NSA)
2767 CCLBSHNO_Log Log of Households and nonprofit organizations; consumer credit; liability, Level (NSA)
2770 CCLBSHNO_mva050 Households and nonprofit organizations; consumer credit; liability, Level (NSA) 50 Day MA
2774 FBDSILQ027S_Smooth Savitsky-Golay Smoothed (p=3, n=365) Domestic financial sectors debt securities; liability, Level (NSA)
2777 FBDSILQ027S_Log Log of Domestic financial sectors debt securities; liability, Level (NSA)
2778 FBDSILQ027S_mva365 Domestic financial sectors debt securities; liability, Level (NSA) 365 Day MA
2779 FBDSILQ027S_mva200 Domestic financial sectors debt securities; liability, Level (NSA) 200 Day MA
2780 FBDSILQ027S_mva050 Domestic financial sectors debt securities; liability, Level (NSA) 50 Day MA
2787 FBLL_Log Log of Domestic financial sectors loans; liability, Level (NSA)
2790 FBLL_mva050 Domestic financial sectors loans; liability, Level (NSA) 50 Day MA
2797 NCBDBIQ027S_Log Log of Nonfinancial corporate business; debt securities; liability, Level
2798 NCBDBIQ027S_mva365 Nonfinancial corporate business; debt securities; liability, Level 365 Day MA
2799 NCBDBIQ027S_mva200 Nonfinancial corporate business; debt securities; liability, Level 200 Day MA
2800 NCBDBIQ027S_mva050 Nonfinancial corporate business; debt securities; liability, Level 50 Day MA
2851 TNX.Volume_YoY Year over Year
2852 TNX.Volume_YoY4 4 Year over 4 Year
2853 TNX.Volume_YoY5 5 Year over 5 Year
2854 TNX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2855 TNX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
2856 TNX.Volume_SmoothDer Derivative of Smoothed
2857 TNX.Volume_Log Log of
2858 TNX.Volume_mva365 365 Day MA
2859 TNX.Volume_mva200 200 Day MA
2860 TNX.Volume_mva050 50 Day MA
2876 CLF.Open_SmoothDer Derivative of Smoothed
2877 CLF.Open_Log Log of
2886 CLF.High_SmoothDer Derivative of Smoothed
2896 CLF.Low_SmoothDer Derivative of Smoothed
2897 CLF.Low_Log Log of
2906 CLF.Close_SmoothDer Derivative of Smoothed
2907 CLF.Close_Log Log of
2914 CLF.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
2916 CLF.Volume_SmoothDer Derivative of Smoothed
2917 CLF.Volume_Log Log of
2920 CLF.Volume_mva050 50 Day MA
2926 CLF.Adjusted_SmoothDer Derivative of Smoothed
2927 CLF.Adjusted_Log Log of
2946 DGS1_SmoothDer Derivative of Smoothed 1-Year Treasury Constant Maturity Rate
2963 TB3MS_YoY5 3-Month Treasury Bill: Secondary Market Rate (Monthly) 5 Year over 5 Year
2977 DTB3_Log Log of 3-Month Treasury Bill: Secondary Market Rate (Daily)
2987 IRX.Open_Log Log of
2997 IRX.High_Log Log of
3007 IRX.Low_Log Log of
3017 IRX.Close_Log Log of
3021 IRX.Volume_YoY Year over Year
3022 IRX.Volume_YoY4 4 Year over 4 Year
3023 IRX.Volume_YoY5 5 Year over 5 Year
3024 IRX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3025 IRX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
3026 IRX.Volume_SmoothDer Derivative of Smoothed
3027 IRX.Volume_Log Log of
3028 IRX.Volume_mva365 365 Day MA
3029 IRX.Volume_mva200 200 Day MA
3030 IRX.Volume_mva050 50 Day MA
3037 IRX.Adjusted_Log Log of
3046 DCOILWTICO_SmoothDer Derivative of Smoothed Crude Oil Prices: West Texas Intermediate (WTI) Cushing, Oklahoma
3047 DCOILWTICO_Log Log of Crude Oil Prices: West Texas Intermediate (WTI) Cushing, Oklahoma
3056 DCOILBRENTEU_SmoothDer Derivative of Smoothed Crude Oil Prices: Brent - Europe
3063 NEWORDER_YoY5 Manufacturers’ New Orders: Nondefense Capital Goods Excluding Aircraft 5 Year over 5 Year
3084 ICSA_Smooth Savitsky-Golay Smoothed (p=3, n=365) Initial Jobless Claims
3086 ICSA_SmoothDer Derivative of Smoothed Initial Jobless Claims
3089 ICSA_mva200 Initial Jobless Claims 200 Day MA
3098 GSPC.Open_mva365 365 Day MA
3099 GSPC.Open_mva200 200 Day MA
3108 GSPC.High_mva365 365 Day MA
3109 GSPC.High_mva200 200 Day MA
3118 GSPC.Low_mva365 365 Day MA
3119 GSPC.Low_mva200 200 Day MA
3128 GSPC.Close_mva365 365 Day MA
3129 GSPC.Close_mva200 200 Day MA
3148 GSPC.Adjusted_mva365 365 Day MA
3149 GSPC.Adjusted_mva200 200 Day MA
3158 FXAIX.Open_mva365 365 Day MA
3159 FXAIX.Open_mva200 200 Day MA
3168 FXAIX.High_mva365 365 Day MA
3169 FXAIX.High_mva200 200 Day MA
3178 FXAIX.Low_mva365 365 Day MA
3179 FXAIX.Low_mva200 200 Day MA
3188 FXAIX.Close_mva365 365 Day MA
3189 FXAIX.Close_mva200 200 Day MA
3191 FXAIX.Volume_YoY Year over Year
3192 FXAIX.Volume_YoY4 4 Year over 4 Year
3193 FXAIX.Volume_YoY5 5 Year over 5 Year
3194 FXAIX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3195 FXAIX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
3196 FXAIX.Volume_SmoothDer Derivative of Smoothed
3197 FXAIX.Volume_Log Log of
3198 FXAIX.Volume_mva365 365 Day MA
3199 FXAIX.Volume_mva200 200 Day MA
3200 FXAIX.Volume_mva050 50 Day MA
3208 FXAIX.Adjusted_mva365 365 Day MA
3209 FXAIX.Adjusted_mva200 200 Day MA
3218 FTIHX.Open_mva365 365 Day MA
3219 FTIHX.Open_mva200 200 Day MA
3228 FTIHX.High_mva365 365 Day MA
3229 FTIHX.High_mva200 200 Day MA
3238 FTIHX.Low_mva365 365 Day MA
3239 FTIHX.Low_mva200 200 Day MA
3248 FTIHX.Close_mva365 365 Day MA
3249 FTIHX.Close_mva200 200 Day MA
3251 FTIHX.Volume_YoY Year over Year
3252 FTIHX.Volume_YoY4 4 Year over 4 Year
3253 FTIHX.Volume_YoY5 5 Year over 5 Year
3254 FTIHX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3255 FTIHX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
3256 FTIHX.Volume_SmoothDer Derivative of Smoothed
3257 FTIHX.Volume_Log Log of
3258 FTIHX.Volume_mva365 365 Day MA
3259 FTIHX.Volume_mva200 200 Day MA
3260 FTIHX.Volume_mva050 50 Day MA
3268 FTIHX.Adjusted_mva365 365 Day MA
3269 FTIHX.Adjusted_mva200 200 Day MA
3274 MDIZX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3276 MDIZX.Open_SmoothDer Derivative of Smoothed
3278 MDIZX.Open_mva365 365 Day MA
3279 MDIZX.Open_mva200 200 Day MA
3280 MDIZX.Open_mva050 50 Day MA
3284 MDIZX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3286 MDIZX.High_SmoothDer Derivative of Smoothed
3288 MDIZX.High_mva365 365 Day MA
3289 MDIZX.High_mva200 200 Day MA
3290 MDIZX.High_mva050 50 Day MA
3294 MDIZX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3296 MDIZX.Low_SmoothDer Derivative of Smoothed
3298 MDIZX.Low_mva365 365 Day MA
3299 MDIZX.Low_mva200 200 Day MA
3300 MDIZX.Low_mva050 50 Day MA
3304 MDIZX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3306 MDIZX.Close_SmoothDer Derivative of Smoothed
3308 MDIZX.Close_mva365 365 Day MA
3309 MDIZX.Close_mva200 200 Day MA
3310 MDIZX.Close_mva050 50 Day MA
3311 MDIZX.Volume_YoY Year over Year
3312 MDIZX.Volume_YoY4 4 Year over 4 Year
3313 MDIZX.Volume_YoY5 5 Year over 5 Year
3314 MDIZX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3315 MDIZX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
3316 MDIZX.Volume_SmoothDer Derivative of Smoothed
3317 MDIZX.Volume_Log Log of
3318 MDIZX.Volume_mva365 365 Day MA
3319 MDIZX.Volume_mva200 200 Day MA
3320 MDIZX.Volume_mva050 50 Day MA
3324 MDIZX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3328 MDIZX.Adjusted_mva365 365 Day MA
3329 MDIZX.Adjusted_mva200 200 Day MA
3330 MDIZX.Adjusted_mva050 50 Day MA
3334 DODIX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3335 DODIX.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
3337 DODIX.Open_Log Log of
3338 DODIX.Open_mva365 365 Day MA
3339 DODIX.Open_mva200 200 Day MA
3340 DODIX.Open_mva050 50 Day MA
3344 DODIX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3345 DODIX.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
3347 DODIX.High_Log Log of
3348 DODIX.High_mva365 365 Day MA
3349 DODIX.High_mva200 200 Day MA
3350 DODIX.High_mva050 50 Day MA
3354 DODIX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3355 DODIX.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
3357 DODIX.Low_Log Log of
3358 DODIX.Low_mva365 365 Day MA
3359 DODIX.Low_mva200 200 Day MA
3360 DODIX.Low_mva050 50 Day MA
3364 DODIX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3365 DODIX.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
3367 DODIX.Close_Log Log of
3368 DODIX.Close_mva365 365 Day MA
3369 DODIX.Close_mva200 200 Day MA
3370 DODIX.Close_mva050 50 Day MA
3371 DODIX.Volume_YoY Year over Year
3372 DODIX.Volume_YoY4 4 Year over 4 Year
3373 DODIX.Volume_YoY5 5 Year over 5 Year
3374 DODIX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3375 DODIX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
3376 DODIX.Volume_SmoothDer Derivative of Smoothed
3377 DODIX.Volume_Log Log of
3378 DODIX.Volume_mva365 365 Day MA
3379 DODIX.Volume_mva200 200 Day MA
3380 DODIX.Volume_mva050 50 Day MA
3384 DODIX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3385 DODIX.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
3387 DODIX.Adjusted_Log Log of
3388 DODIX.Adjusted_mva365 365 Day MA
3389 DODIX.Adjusted_mva200 200 Day MA
3390 DODIX.Adjusted_mva050 50 Day MA
3398 RLG.Open_mva365 365 Day MA
3399 RLG.Open_mva200 200 Day MA
3408 RLG.High_mva365 365 Day MA
3409 RLG.High_mva200 200 Day MA
3418 RLG.Low_mva365 365 Day MA
3419 RLG.Low_mva200 200 Day MA
3428 RLG.Close_mva365 365 Day MA
3429 RLG.Close_mva200 200 Day MA
3431 RLG.Volume_YoY Year over Year
3432 RLG.Volume_YoY4 4 Year over 4 Year
3433 RLG.Volume_YoY5 5 Year over 5 Year
3434 RLG.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3435 RLG.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
3436 RLG.Volume_SmoothDer Derivative of Smoothed
3437 RLG.Volume_Log Log of
3438 RLG.Volume_mva365 365 Day MA
3439 RLG.Volume_mva200 200 Day MA
3440 RLG.Volume_mva050 50 Day MA
3448 RLG.Adjusted_mva365 365 Day MA
3449 RLG.Adjusted_mva200 200 Day MA
3454 DJI.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3458 DJI.Open_mva365 365 Day MA
3459 DJI.Open_mva200 200 Day MA
3464 DJI.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3468 DJI.High_mva365 365 Day MA
3469 DJI.High_mva200 200 Day MA
3474 DJI.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3478 DJI.Low_mva365 365 Day MA
3479 DJI.Low_mva200 200 Day MA
3484 DJI.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3488 DJI.Close_mva365 365 Day MA
3489 DJI.Close_mva200 200 Day MA
3499 DJI.Volume_mva200 200 Day MA
3504 DJI.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3508 DJI.Adjusted_mva365 365 Day MA
3509 DJI.Adjusted_mva200 200 Day MA
3518 STOXX50E.Open_mva365 365 Day MA
3519 STOXX50E.Open_mva200 200 Day MA
3528 STOXX50E.High_mva365 365 Day MA
3529 STOXX50E.High_mva200 200 Day MA
3538 STOXX50E.Low_mva365 365 Day MA
3539 STOXX50E.Low_mva200 200 Day MA
3548 STOXX50E.Close_mva365 365 Day MA
3549 STOXX50E.Close_mva200 200 Day MA
3557 STOXX50E.Volume_Log Log of
3568 STOXX50E.Adjusted_mva365 365 Day MA
3569 STOXX50E.Adjusted_mva200 200 Day MA
3578 EFA.Open_mva365 365 Day MA
3579 EFA.Open_mva200 200 Day MA
3588 EFA.High_mva365 365 Day MA
3589 EFA.High_mva200 200 Day MA
3598 EFA.Low_mva365 365 Day MA
3599 EFA.Low_mva200 200 Day MA
3608 EFA.Close_mva365 365 Day MA
3609 EFA.Close_mva200 200 Day MA
3628 EFA.Adjusted_mva365 365 Day MA
3629 EFA.Adjusted_mva200 200 Day MA
3630 EFA.Adjusted_mva050 50 Day MA
3637 GDP_Log Log of Gross Domestic Product
3638 GDP_mva365 Gross Domestic Product 365 Day MA
3639 GDP_mva200 Gross Domestic Product 200 Day MA
3640 GDP_mva050 Gross Domestic Product 50 Day MA
3642 FNDEFX_YoY4 Federal Government: Nondefense Consumption Expenditures and Gross Investment (SA, Annual Rate) 4 Year over 4 Year
3647 FNDEFX_Log Log of Federal Government: Nondefense Consumption Expenditures and Gross Investment (SA, Annual Rate)
3648 FNDEFX_mva365 Federal Government: Nondefense Consumption Expenditures and Gross Investment (SA, Annual Rate) 365 Day MA
3649 FNDEFX_mva200 Federal Government: Nondefense Consumption Expenditures and Gross Investment (SA, Annual Rate) 200 Day MA
3650 FNDEFX_mva050 Federal Government: Nondefense Consumption Expenditures and Gross Investment (SA, Annual Rate) 50 Day MA
3657 FDEFX_Log Log of Federal Government: National Defense Consumption Expenditures and Gross Investment (SA, Annual Rate)
3658 FDEFX_mva365 Federal Government: National Defense Consumption Expenditures and Gross Investment (SA, Annual Rate) 365 Day MA
3659 FDEFX_mva200 Federal Government: National Defense Consumption Expenditures and Gross Investment (SA, Annual Rate) 200 Day MA
3660 FDEFX_mva050 Federal Government: National Defense Consumption Expenditures and Gross Investment (SA, Annual Rate) 50 Day MA
3666 GDPNOW_SmoothDer Derivative of Smoothed Fed Atlanta GDPNow
3667 GDPNOW_Log Log of Fed Atlanta GDPNow
3677 GDPC1_Log Log of Real Gross Domestic Product
3678 GDPC1_mva365 Real Gross Domestic Product 365 Day MA
3679 GDPC1_mva200 Real Gross Domestic Product 200 Day MA
3680 GDPC1_mva050 Real Gross Domestic Product 50 Day MA
3687 GDPDEF_Log Log of Gross Domestic Product: Implicit Price Deflator
3688 GDPDEF_mva365 Gross Domestic Product: Implicit Price Deflator 365 Day MA
3689 GDPDEF_mva200 Gross Domestic Product: Implicit Price Deflator 200 Day MA
3690 GDPDEF_mva050 Gross Domestic Product: Implicit Price Deflator 50 Day MA
3694 VIG.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3698 VIG.Open_mva365 365 Day MA
3699 VIG.Open_mva200 200 Day MA
3700 VIG.Open_mva050 50 Day MA
3704 VIG.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3708 VIG.High_mva365 365 Day MA
3709 VIG.High_mva200 200 Day MA
3710 VIG.High_mva050 50 Day MA
3714 VIG.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3718 VIG.Low_mva365 365 Day MA
3719 VIG.Low_mva200 200 Day MA
3720 VIG.Low_mva050 50 Day MA
3724 VIG.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3728 VIG.Close_mva365 365 Day MA
3729 VIG.Close_mva200 200 Day MA
3730 VIG.Close_mva050 50 Day MA
3736 VIG.Volume_SmoothDer Derivative of Smoothed
3744 VIG.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3748 VIG.Adjusted_mva365 365 Day MA
3749 VIG.Adjusted_mva200 200 Day MA
3750 VIG.Adjusted_mva050 50 Day MA
3756 WLRRAL_SmoothDer Derivative of Smoothed Liabilities and Capital: Liabilities: Reverse Repurchase Agreements: Wednesday Level (NSA)
3763 FEDFUNDS_YoY5 Effective Federal Funds Rate 5 Year over 5 Year
3766 FEDFUNDS_SmoothDer Derivative of Smoothed Effective Federal Funds Rate
3767 FEDFUNDS_Log Log of Effective Federal Funds Rate
3768 FEDFUNDS_mva365 Effective Federal Funds Rate 365 Day MA
3769 FEDFUNDS_mva200 Effective Federal Funds Rate 200 Day MA
3770 FEDFUNDS_mva050 Effective Federal Funds Rate 50 Day MA
3777 GPDI_Log Log of Gross Private Domestic Investment
3778 GPDI_mva365 Gross Private Domestic Investment 365 Day MA
3779 GPDI_mva200 Gross Private Domestic Investment 200 Day MA
3780 GPDI_mva050 Gross Private Domestic Investment 50 Day MA
3783 W790RC1Q027SBEA_YoY5 Net domestic investment: Private: Domestic busines 5 Year over 5 Year
3787 W790RC1Q027SBEA_Log Log of Net domestic investment: Private: Domestic busines
3788 W790RC1Q027SBEA_mva365 Net domestic investment: Private: Domestic busines 365 Day MA
3789 W790RC1Q027SBEA_mva200 Net domestic investment: Private: Domestic busines 200 Day MA
3790 W790RC1Q027SBEA_mva050 Net domestic investment: Private: Domestic busines 50 Day MA
3791 MZMV_YoY Velocity of MZM Money Stock Year over Year
3793 MZMV_YoY5 Velocity of MZM Money Stock 5 Year over 5 Year
3797 MZMV_Log Log of Velocity of MZM Money Stock
3798 MZMV_mva365 Velocity of MZM Money Stock 365 Day MA
3799 MZMV_mva200 Velocity of MZM Money Stock 200 Day MA
3800 MZMV_mva050 Velocity of MZM Money Stock 50 Day MA
3801 M1_YoY M1 Money Stock Year over Year
3807 M1_Log Log of M1 Money Stock
3808 M1_mva365 M1 Money Stock 365 Day MA
3809 M1_mva200 M1 Money Stock 200 Day MA
3810 M1_mva050 M1 Money Stock 50 Day MA
3811 M2_YoY M2 Money Stock Year over Year
3817 M2_Log Log of M2 Money Stock
3818 M2_mva365 M2 Money Stock 365 Day MA
3819 M2_mva200 M2 Money Stock 200 Day MA
3820 M2_mva050 M2 Money Stock 50 Day MA
3827 OPHNFB_Log Log of Nonfarm Business Sector: Real Output Per Hour of All Persons, SA
3828 OPHNFB_mva365 Nonfarm Business Sector: Real Output Per Hour of All Persons, SA 365 Day MA
3829 OPHNFB_mva200 Nonfarm Business Sector: Real Output Per Hour of All Persons, SA 200 Day MA
3830 OPHNFB_mva050 Nonfarm Business Sector: Real Output Per Hour of All Persons, SA 50 Day MA
3833 IPMAN_YoY5 Industrial Production: Manufacturing (NAICS) 5 Year over 5 Year
3839 IPMAN_mva200 Industrial Production: Manufacturing (NAICS) 200 Day MA
3844 IWD.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3848 IWD.Open_mva365 365 Day MA
3849 IWD.Open_mva200 200 Day MA
3850 IWD.Open_mva050 50 Day MA
3854 IWD.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3858 IWD.High_mva365 365 Day MA
3859 IWD.High_mva200 200 Day MA
3860 IWD.High_mva050 50 Day MA
3864 IWD.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3868 IWD.Low_mva365 365 Day MA
3869 IWD.Low_mva200 200 Day MA
3870 IWD.Low_mva050 50 Day MA
3874 IWD.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3878 IWD.Close_mva365 365 Day MA
3879 IWD.Close_mva200 200 Day MA
3880 IWD.Close_mva050 50 Day MA
3884 IWD.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3886 IWD.Volume_SmoothDer Derivative of Smoothed
3894 IWD.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3898 IWD.Adjusted_mva365 365 Day MA
3899 IWD.Adjusted_mva200 200 Day MA
3900 IWD.Adjusted_mva050 50 Day MA
3911 PSAVERT_YoY Personal Saving Rate Year over Year
3912 PSAVERT_YoY4 Personal Saving Rate 4 Year over 4 Year
3924 VIXCLS_Smooth Savitsky-Golay Smoothed (p=3, n=365) CBOE Volatility Index
3926 VIXCLS_SmoothDer Derivative of Smoothed CBOE Volatility Index
3929 VIXCLS_mva200 CBOE Volatility Index 200 Day MA
3930 VIXCLS_mva050 CBOE Volatility Index 50 Day MA
3936 VXX.Open_SmoothDer Derivative of Smoothed
3946 VXX.High_SmoothDer Derivative of Smoothed
3966 VXX.Close_SmoothDer Derivative of Smoothed
3974 VXX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
3976 VXX.Volume_SmoothDer Derivative of Smoothed
3977 VXX.Volume_Log Log of
3978 VXX.Volume_mva365 365 Day MA
3979 VXX.Volume_mva200 200 Day MA
3980 VXX.Volume_mva050 50 Day MA
3986 VXX.Adjusted_SmoothDer Derivative of Smoothed
4007 GFDEBTN_Log Log of Federal Debt: Total Public Debt
4008 GFDEBTN_mva365 Federal Debt: Total Public Debt 365 Day MA
4009 GFDEBTN_mva200 Federal Debt: Total Public Debt 200 Day MA
4010 GFDEBTN_mva050 Federal Debt: Total Public Debt 50 Day MA
4029 HOUSTNSA_mva200 Housing Starts: Total: New Privately Owned Housing Units Started, NSA 200 Day MA
4046 MSPUS_SmoothDer Derivative of Smoothed Median Sales Price of Houses Sold for the United States (NSA)
4064 DGORDER_Smooth Savitsky-Golay Smoothed (p=3, n=365) Manufacturers’ New Orders: Durable Goods (SA)
4066 DGORDER_SmoothDer Derivative of Smoothed Manufacturers’ New Orders: Durable Goods (SA)
4067 DGORDER_Log Log of Manufacturers’ New Orders: Durable Goods (SA)
4070 DGORDER_mva050 Manufacturers’ New Orders: Durable Goods (SA) 50 Day MA
4076 CSUSHPINSA_SmoothDer Derivative of Smoothed S&P/Case-Shiller U.S. National Home Price Index (NSA)
4077 CSUSHPINSA_Log Log of S&P/Case-Shiller U.S. National Home Price Index (NSA)
4078 CSUSHPINSA_mva365 S&P/Case-Shiller U.S. National Home Price Index (NSA) 365 Day MA
4079 CSUSHPINSA_mva200 S&P/Case-Shiller U.S. National Home Price Index (NSA) 200 Day MA
4080 CSUSHPINSA_mva050 S&P/Case-Shiller U.S. National Home Price Index (NSA) 50 Day MA
4088 GFDEGDQ188S_mva365 Federal Debt: Total Public Debt as Percent of Gross Domestic Product 365 Day MA
4095 FYFSD_Smooth.short Savitsky-Golay Smoothed (p=3, n=15) Federal Surplus or Deficit
4097 FYFSD_Log Log of Federal Surplus or Deficit
4100 FYFSD_mva050 Federal Surplus or Deficit 50 Day MA
4101 FYFSGDA188S_YoY Federal Surplus or Deficit [-] as Percent of Gross Domestic Product Year over Year
4102 FYFSGDA188S_YoY4 Federal Surplus or Deficit [-] as Percent of Gross Domestic Product 4 Year over 4 Year
4107 FYFSGDA188S_Log Log of Federal Surplus or Deficit [-] as Percent of Gross Domestic Product
4108 FYFSGDA188S_mva365 Federal Surplus or Deficit [-] as Percent of Gross Domestic Product 365 Day MA
4109 FYFSGDA188S_mva200 Federal Surplus or Deficit [-] as Percent of Gross Domestic Product 200 Day MA
4110 FYFSGDA188S_mva050 Federal Surplus or Deficit [-] as Percent of Gross Domestic Product 50 Day MA
4114 GDX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4116 GDX.Open_SmoothDer Derivative of Smoothed
4118 GDX.Open_mva365 365 Day MA
4119 GDX.Open_mva200 200 Day MA
4124 GDX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4126 GDX.High_SmoothDer Derivative of Smoothed
4128 GDX.High_mva365 365 Day MA
4129 GDX.High_mva200 200 Day MA
4134 GDX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4136 GDX.Low_SmoothDer Derivative of Smoothed
4138 GDX.Low_mva365 365 Day MA
4139 GDX.Low_mva200 200 Day MA
4144 GDX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4146 GDX.Close_SmoothDer Derivative of Smoothed
4148 GDX.Close_mva365 365 Day MA
4149 GDX.Close_mva200 200 Day MA
4164 GDX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4166 GDX.Adjusted_SmoothDer Derivative of Smoothed
4168 GDX.Adjusted_mva365 365 Day MA
4169 GDX.Adjusted_mva200 200 Day MA
4179 XLE.Open_mva200 200 Day MA
4189 XLE.High_mva200 200 Day MA
4199 XLE.Low_mva200 200 Day MA
4209 XLE.Close_mva200 200 Day MA
4216 XLE.Volume_SmoothDer Derivative of Smoothed
4229 XLE.Adjusted_mva200 200 Day MA
4236 GSG.Open_SmoothDer Derivative of Smoothed
4246 GSG.High_SmoothDer Derivative of Smoothed
4256 GSG.Low_SmoothDer Derivative of Smoothed
4266 GSG.Close_SmoothDer Derivative of Smoothed
4276 GSG.Volume_SmoothDer Derivative of Smoothed
4286 GSG.Adjusted_SmoothDer Derivative of Smoothed
4296 WALCL_SmoothDer Derivative of Smoothed All Federal Reserve Banks: Total Assets
4301 OUTMS_YoY Manufacturing Sector: Real Output Year over Year
4303 OUTMS_YoY5 Manufacturing Sector: Real Output 5 Year over 5 Year
4307 OUTMS_Log Log of Manufacturing Sector: Real Output
4308 OUTMS_mva365 Manufacturing Sector: Real Output 365 Day MA
4309 OUTMS_mva200 Manufacturing Sector: Real Output 200 Day MA
4310 OUTMS_mva050 Manufacturing Sector: Real Output 50 Day MA
4321 PRS30006163_YoY Manufacturing Sector: Real Output Per Person Year over Year
4323 PRS30006163_YoY5 Manufacturing Sector: Real Output Per Person 5 Year over 5 Year
4327 PRS30006163_Log Log of Manufacturing Sector: Real Output Per Person
4328 PRS30006163_mva365 Manufacturing Sector: Real Output Per Person 365 Day MA
4329 PRS30006163_mva200 Manufacturing Sector: Real Output Per Person 200 Day MA
4330 PRS30006163_mva050 Manufacturing Sector: Real Output Per Person 50 Day MA
4334 BAMLC0A3CA_Smooth Savitsky-Golay Smoothed (p=3, n=365) ICE BofAML US Corporate A Option-Adjusted Spread
4336 BAMLC0A3CA_SmoothDer Derivative of Smoothed ICE BofAML US Corporate A Option-Adjusted Spread
4340 BAMLC0A3CA_mva050 ICE BofAML US Corporate A Option-Adjusted Spread 50 Day MA
4354 SOFR_Smooth Savitsky-Golay Smoothed (p=3, n=365) Secured Overnight Financing Rate
4355 SOFR_Smooth.short Savitsky-Golay Smoothed (p=3, n=15) Secured Overnight Financing Rate
4356 SOFR_SmoothDer Derivative of Smoothed Secured Overnight Financing Rate
4358 SOFR_mva365 Secured Overnight Financing Rate 365 Day MA
4359 SOFR_mva200 Secured Overnight Financing Rate 200 Day MA
4364 SOFRVOL_Smooth Savitsky-Golay Smoothed (p=3, n=365) Secured Overnight Financing Volume
4368 SOFRVOL_mva365 Secured Overnight Financing Volume 365 Day MA
4369 SOFRVOL_mva200 Secured Overnight Financing Volume 200 Day MA
4370 SOFRVOL_mva050 Secured Overnight Financing Volume 50 Day MA
4374 SOFR99_Smooth Savitsky-Golay Smoothed (p=3, n=365) Secured Overnight Financing Rate: 99th Percentile
4376 SOFR99_SmoothDer Derivative of Smoothed Secured Overnight Financing Rate: 99th Percentile
4378 SOFR99_mva365 Secured Overnight Financing Rate: 99th Percentile 365 Day MA
4379 SOFR99_mva200 Secured Overnight Financing Rate: 99th Percentile 200 Day MA
4384 SOFR75_Smooth Savitsky-Golay Smoothed (p=3, n=365) Secured Overnight Financing Rate: 75th Percentile
4386 SOFR75_SmoothDer Derivative of Smoothed Secured Overnight Financing Rate: 75th Percentile
4388 SOFR75_mva365 Secured Overnight Financing Rate: 75th Percentile 365 Day MA
4389 SOFR75_mva200 Secured Overnight Financing Rate: 75th Percentile 200 Day MA
4394 SOFR25_Smooth Savitsky-Golay Smoothed (p=3, n=365) Secured Overnight Financing Rate: 25th Percentile
4396 SOFR25_SmoothDer Derivative of Smoothed Secured Overnight Financing Rate: 25th Percentile
4397 SOFR25_Log Log of Secured Overnight Financing Rate: 25th Percentile
4398 SOFR25_mva365 Secured Overnight Financing Rate: 25th Percentile 365 Day MA
4399 SOFR25_mva200 Secured Overnight Financing Rate: 25th Percentile 200 Day MA
4404 SOFR1_Smooth Savitsky-Golay Smoothed (p=3, n=365) Secured Overnight Financing Rate: 1st Percentile
4405 SOFR1_Smooth.short Savitsky-Golay Smoothed (p=3, n=15) Secured Overnight Financing Rate: 1st Percentile
4406 SOFR1_SmoothDer Derivative of Smoothed Secured Overnight Financing Rate: 1st Percentile
4407 SOFR1_Log Log of Secured Overnight Financing Rate: 1st Percentile
4408 SOFR1_mva365 Secured Overnight Financing Rate: 1st Percentile 365 Day MA
4409 SOFR1_mva200 Secured Overnight Financing Rate: 1st Percentile 200 Day MA
4414 OBFR_Smooth Savitsky-Golay Smoothed (p=3, n=365) Overnight Bank Funding Rate
4415 OBFR_Smooth.short Savitsky-Golay Smoothed (p=3, n=15) Overnight Bank Funding Rate
4416 OBFR_SmoothDer Derivative of Smoothed Overnight Bank Funding Rate
4417 OBFR_Log Log of Overnight Bank Funding Rate
4418 OBFR_mva365 Overnight Bank Funding Rate 365 Day MA
4419 OBFR_mva200 Overnight Bank Funding Rate 200 Day MA
4420 OBFR_mva050 Overnight Bank Funding Rate 50 Day MA
4424 OBFR99_Smooth Savitsky-Golay Smoothed (p=3, n=365) Overnight Bank Funding Rate: 99th Percentile
4426 OBFR99_SmoothDer Derivative of Smoothed Overnight Bank Funding Rate: 99th Percentile
4434 OBFR75_Smooth Savitsky-Golay Smoothed (p=3, n=365) Overnight Bank Funding Rate: 75th Percentile
4436 OBFR75_SmoothDer Derivative of Smoothed Overnight Bank Funding Rate: 75th Percentile
4438 OBFR75_mva365 Overnight Bank Funding Rate: 75th Percentile 365 Day MA
4444 OBFR25_Smooth Savitsky-Golay Smoothed (p=3, n=365) Overnight Bank Funding Rate: 25th Percentile
4446 OBFR25_SmoothDer Derivative of Smoothed Overnight Bank Funding Rate: 25th Percentile
4447 OBFR25_Log Log of Overnight Bank Funding Rate: 25th Percentile
4448 OBFR25_mva365 Overnight Bank Funding Rate: 25th Percentile 365 Day MA
4449 OBFR25_mva200 Overnight Bank Funding Rate: 25th Percentile 200 Day MA
4450 OBFR25_mva050 Overnight Bank Funding Rate: 25th Percentile 50 Day MA
4454 OBFR1_Smooth Savitsky-Golay Smoothed (p=3, n=365) Overnight Bank Funding Rate: 1st Percentile
4456 OBFR1_SmoothDer Derivative of Smoothed Overnight Bank Funding Rate: 1st Percentile
4460 OBFR1_mva050 Overnight Bank Funding Rate: 1st Percentile 50 Day MA
4467 RPONTSYD_Log Log of Overnight Repurchase Agreements: Treasury Securities Purchased by the Federal Reserve in the Temporary Open Market Operations
4471 IOER_YoY Interest Rate on Excess Reserves Year over Year
4472 IOER_YoY4 Interest Rate on Excess Reserves 4 Year over 4 Year
4473 IOER_YoY5 Interest Rate on Excess Reserves 5 Year over 5 Year
4477 IOER_Log Log of Interest Rate on Excess Reserves
4478 IOER_mva365 Interest Rate on Excess Reserves 365 Day MA
4479 IOER_mva200 Interest Rate on Excess Reserves 200 Day MA
4480 IOER_mva050 Interest Rate on Excess Reserves 50 Day MA
4491 EXCSRESNW_YoY Excess Reserves of Depository Institutions Year over Year
4497 EXCSRESNW_Log Log of Excess Reserves of Depository Institutions
4498 EXCSRESNW_mva365 Excess Reserves of Depository Institutions 365 Day MA
4499 EXCSRESNW_mva200 Excess Reserves of Depository Institutions 200 Day MA
4500 EXCSRESNW_mva050 Excess Reserves of Depository Institutions 50 Day MA
4501 ECBASSETS_YoY Central Bank Assets for Euro Area (11-19 Countries) Year over Year
4502 ECBASSETS_YoY4 Central Bank Assets for Euro Area (11-19 Countries) 4 Year over 4 Year
4507 ECBASSETS_Log Log of Central Bank Assets for Euro Area (11-19 Countries)
4508 ECBASSETS_mva365 Central Bank Assets for Euro Area (11-19 Countries) 365 Day MA
4509 ECBASSETS_mva200 Central Bank Assets for Euro Area (11-19 Countries) 200 Day MA
4510 ECBASSETS_mva050 Central Bank Assets for Euro Area (11-19 Countries) 50 Day MA
4517 EUNNGDP_Log Log of Gross Domestic Product (Euro/ECU series) for Euro Area (19 Countries)
4518 EUNNGDP_mva365 Gross Domestic Product (Euro/ECU series) for Euro Area (19 Countries) 365 Day MA
4519 EUNNGDP_mva200 Gross Domestic Product (Euro/ECU series) for Euro Area (19 Countries) 200 Day MA
4520 EUNNGDP_mva050 Gross Domestic Product (Euro/ECU series) for Euro Area (19 Countries) 50 Day MA
4523 CEU0600000007_YoY5 Average Weekly Hours of Production and Nonsupervisory Employees: Goods-Producing 5 Year over 5 Year
4526 CEU0600000007_SmoothDer Derivative of Smoothed Average Weekly Hours of Production and Nonsupervisory Employees: Goods-Producing
4527 CEU0600000007_Log Log of Average Weekly Hours of Production and Nonsupervisory Employees: Goods-Producing
4528 CEU0600000007_mva365 Average Weekly Hours of Production and Nonsupervisory Employees: Goods-Producing 365 Day MA
4529 CEU0600000007_mva200 Average Weekly Hours of Production and Nonsupervisory Employees: Goods-Producing 200 Day MA
4530 CEU0600000007_mva050 Average Weekly Hours of Production and Nonsupervisory Employees: Goods-Producing 50 Day MA
4531 CURRENCY_YoY Currency Component of M1 (Seasonally Adjusted) Year over Year
4537 CURRENCY_Log Log of Currency Component of M1 (Seasonally Adjusted)
4538 CURRENCY_mva365 Currency Component of M1 (Seasonally Adjusted) 365 Day MA
4539 CURRENCY_mva200 Currency Component of M1 (Seasonally Adjusted) 200 Day MA
4540 CURRENCY_mva050 Currency Component of M1 (Seasonally Adjusted) 50 Day MA
4548 WCURRNS_mva365 Currency Component of M1 365 Day MA
4549 WCURRNS_mva200 Currency Component of M1 200 Day MA
4558 BOGMBASE_mva365 Monetary Base; Total 365 Day MA
4566 PRS88003193_SmoothDer Derivative of Smoothed Nonfinancial Corporations Sector: Unit Profits
4567 PRS88003193_Log Log of Nonfinancial Corporations Sector: Unit Profits
4570 PRS88003193_mva050 Nonfinancial Corporations Sector: Unit Profits 50 Day MA
4576 PPIACO_SmoothDer Derivative of Smoothed Producer Price Index for All Commodities
4577 PPIACO_Log Log of Producer Price Index for All Commodities
4579 PPIACO_mva200 Producer Price Index for All Commodities 200 Day MA
4580 PPIACO_mva050 Producer Price Index for All Commodities 50 Day MA
4586 PCUOMFGOMFG_SmoothDer Derivative of Smoothed Producer Price Index by Industry: Total Manufacturing Industries
4589 PCUOMFGOMFG_mva200 Producer Price Index by Industry: Total Manufacturing Industries 200 Day MA
4597 POPTHM_Smooth Savitsky-Golay Smoothed (p=3, n=365) Population (U.S.)
4598 POPTHM_Smooth Savitsky-Golay Smoothed (p=3, n=365) Population (U.S.)
4603 POPTHM_Log Log of Population (U.S.)
4604 POPTHM_Log Log of Population (U.S.)
4605 POPTHM_mva365 Population (U.S.) 365 Day MA
4606 POPTHM_mva365 Population (U.S.) 365 Day MA
4607 POPTHM_mva200 Population (U.S.) 200 Day MA
4608 POPTHM_mva200 Population (U.S.) 200 Day MA
4609 POPTHM_mva050 Population (U.S.) 50 Day MA
4610 POPTHM_mva050 Population (U.S.) 50 Day MA
4617 POPTHM.1_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4618 POPTHM.1_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4623 POPTHM.1_Log Log of
4624 POPTHM.1_Log Log of
4625 POPTHM.1_mva365 365 Day MA
4626 POPTHM.1_mva365 365 Day MA
4627 POPTHM.1_mva200 200 Day MA
4628 POPTHM.1_mva200 200 Day MA
4629 POPTHM.1_mva050 50 Day MA
4630 POPTHM.1_mva050 50 Day MA
4634 CLF16OV_Smooth Savitsky-Golay Smoothed (p=3, n=365) Civilian Labor Force Level, SA
4636 CLF16OV_SmoothDer Derivative of Smoothed Civilian Labor Force Level, SA
4637 CLF16OV_Log Log of Civilian Labor Force Level, SA
4638 CLF16OV_mva365 Civilian Labor Force Level, SA 365 Day MA
4639 CLF16OV_mva200 Civilian Labor Force Level, SA 200 Day MA
4640 CLF16OV_mva050 Civilian Labor Force Level, SA 50 Day MA
4646 LNU01000000_SmoothDer Derivative of Smoothed Civilian Labor Force Level, NSA
4648 LNU01000000_mva365 Civilian Labor Force Level, NSA 365 Day MA
4649 LNU01000000_mva200 Civilian Labor Force Level, NSA 200 Day MA
4652 LNU03000000_YoY4 Unemployment Level (NSA) 4 Year over 4 Year
4654 LNU03000000_Smooth Savitsky-Golay Smoothed (p=3, n=365) Unemployment Level (NSA)
4656 LNU03000000_SmoothDer Derivative of Smoothed Unemployment Level (NSA)
4658 LNU03000000_mva365 Unemployment Level (NSA) 365 Day MA
4659 LNU03000000_mva200 Unemployment Level (NSA) 200 Day MA
4662 UNEMPLOY_YoY4 Unemployment Level, seasonally adjusted 4 Year over 4 Year
4664 UNEMPLOY_Smooth Savitsky-Golay Smoothed (p=3, n=365) Unemployment Level, seasonally adjusted
4666 UNEMPLOY_SmoothDer Derivative of Smoothed Unemployment Level, seasonally adjusted
4668 UNEMPLOY_mva365 Unemployment Level, seasonally adjusted 365 Day MA
4669 UNEMPLOY_mva200 Unemployment Level, seasonally adjusted 200 Day MA
4674 RSAFS_Smooth Savitsky-Golay Smoothed (p=3, n=365) Advance Retail Sales: Retail and Food Services
4676 RSAFS_SmoothDer Derivative of Smoothed Advance Retail Sales: Retail and Food Services
4677 RSAFS_Log Log of Advance Retail Sales: Retail and Food Services
4678 RSAFS_mva365 Advance Retail Sales: Retail and Food Services 365 Day MA
4679 RSAFS_mva200 Advance Retail Sales: Retail and Food Services 200 Day MA
4680 RSAFS_mva050 Advance Retail Sales: Retail and Food Services 50 Day MA
4686 FRGSHPUSM649NCIS_SmoothDer Derivative of Smoothed Cass Freight Index: Shipments
4687 FRGSHPUSM649NCIS_Log Log of Cass Freight Index: Shipments
4693 BOPGTB_YoY5 Trade Balance: Goods, Balance of Payments Basis (SA) 5 Year over 5 Year
4696 BOPGTB_SmoothDer Derivative of Smoothed Trade Balance: Goods, Balance of Payments Basis (SA)
4697 BOPGTB_Log Log of Trade Balance: Goods, Balance of Payments Basis (SA)
4706 TERMCBPER24NS_SmoothDer Derivative of Smoothed Finance Rate on Personal Loans at Commercial Banks, 24 Month Loan
4711 A065RC1A027NBEA_YoY Personal income (NSA) Year over Year
4717 A065RC1A027NBEA_Log Log of Personal income (NSA)
4718 A065RC1A027NBEA_mva365 Personal income (NSA) 365 Day MA
4719 A065RC1A027NBEA_mva200 Personal income (NSA) 200 Day MA
4720 A065RC1A027NBEA_mva050 Personal income (NSA) 50 Day MA
4727 PI_Log Log of Personal income (SA)
4728 PI_mva365 Personal income (SA) 365 Day MA
4729 PI_mva200 Personal income (SA) 200 Day MA
4730 PI_mva050 Personal income (SA) 50 Day MA
4737 PCE_Log Log of Personal Consumption Expenditures (SA)
4738 PCE_mva365 Personal Consumption Expenditures (SA) 365 Day MA
4739 PCE_mva200 Personal Consumption Expenditures (SA) 200 Day MA
4740 PCE_mva050 Personal Consumption Expenditures (SA) 50 Day MA
4747 A053RC1Q027SBEA_Log Log of National income: Corporate profits before tax (without IVA and CCAdj)
4748 A053RC1Q027SBEA_mva365 National income: Corporate profits before tax (without IVA and CCAdj) 365 Day MA
4749 A053RC1Q027SBEA_mva200 National income: Corporate profits before tax (without IVA and CCAdj) 200 Day MA
4750 A053RC1Q027SBEA_mva050 National income: Corporate profits before tax (without IVA and CCAdj) 50 Day MA
4756 CPROFIT_SmoothDer Derivative of Smoothed Corporate Profits with Inventory Valuation Adjustment (IVA) and Capital Consumption Adjustment (CCAdj)
4757 CPROFIT_Log Log of Corporate Profits with Inventory Valuation Adjustment (IVA) and Capital Consumption Adjustment (CCAdj)
4758 CPROFIT_mva365 Corporate Profits with Inventory Valuation Adjustment (IVA) and Capital Consumption Adjustment (CCAdj) 365 Day MA
4759 CPROFIT_mva200 Corporate Profits with Inventory Valuation Adjustment (IVA) and Capital Consumption Adjustment (CCAdj) 200 Day MA
4760 CPROFIT_mva050 Corporate Profits with Inventory Valuation Adjustment (IVA) and Capital Consumption Adjustment (CCAdj) 50 Day MA
4768 SPY.Open_mva365 365 Day MA
4769 SPY.Open_mva200 200 Day MA
4778 SPY.High_mva365 365 Day MA
4779 SPY.High_mva200 200 Day MA
4788 SPY.Low_mva365 365 Day MA
4789 SPY.Low_mva200 200 Day MA
4798 SPY.Close_mva365 365 Day MA
4799 SPY.Close_mva200 200 Day MA
4818 SPY.Adjusted_mva365 365 Day MA
4819 SPY.Adjusted_mva200 200 Day MA
4828 MDY.Open_mva365 365 Day MA
4829 MDY.Open_mva200 200 Day MA
4838 MDY.High_mva365 365 Day MA
4839 MDY.High_mva200 200 Day MA
4848 MDY.Low_mva365 365 Day MA
4849 MDY.Low_mva200 200 Day MA
4858 MDY.Close_mva365 365 Day MA
4859 MDY.Close_mva200 200 Day MA
4878 MDY.Adjusted_mva365 365 Day MA
4879 MDY.Adjusted_mva200 200 Day MA
4884 EES.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4886 EES.Open_SmoothDer Derivative of Smoothed
4888 EES.Open_mva365 365 Day MA
4889 EES.Open_mva200 200 Day MA
4894 EES.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4896 EES.High_SmoothDer Derivative of Smoothed
4898 EES.High_mva365 365 Day MA
4899 EES.High_mva200 200 Day MA
4904 EES.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4906 EES.Low_SmoothDer Derivative of Smoothed
4908 EES.Low_mva365 365 Day MA
4909 EES.Low_mva200 200 Day MA
4914 EES.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4916 EES.Close_SmoothDer Derivative of Smoothed
4918 EES.Close_mva365 365 Day MA
4919 EES.Close_mva200 200 Day MA
4927 EES.Volume_Log Log of
4934 EES.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4936 EES.Adjusted_SmoothDer Derivative of Smoothed
4938 EES.Adjusted_mva365 365 Day MA
4939 EES.Adjusted_mva200 200 Day MA
4944 IJR.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4948 IJR.Open_mva365 365 Day MA
4949 IJR.Open_mva200 200 Day MA
4954 IJR.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4958 IJR.High_mva365 365 Day MA
4959 IJR.High_mva200 200 Day MA
4964 IJR.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4968 IJR.Low_mva365 365 Day MA
4969 IJR.Low_mva200 200 Day MA
4974 IJR.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4978 IJR.Close_mva365 365 Day MA
4979 IJR.Close_mva200 200 Day MA
4984 IJR.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4986 IJR.Volume_SmoothDer Derivative of Smoothed
4994 IJR.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
4998 IJR.Adjusted_mva365 365 Day MA
4999 IJR.Adjusted_mva200 200 Day MA
5004 VGSTX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5008 VGSTX.Open_mva365 365 Day MA
5009 VGSTX.Open_mva200 200 Day MA
5010 VGSTX.Open_mva050 50 Day MA
5014 VGSTX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5018 VGSTX.High_mva365 365 Day MA
5019 VGSTX.High_mva200 200 Day MA
5020 VGSTX.High_mva050 50 Day MA
5024 VGSTX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5028 VGSTX.Low_mva365 365 Day MA
5029 VGSTX.Low_mva200 200 Day MA
5030 VGSTX.Low_mva050 50 Day MA
5034 VGSTX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5038 VGSTX.Close_mva365 365 Day MA
5039 VGSTX.Close_mva200 200 Day MA
5040 VGSTX.Close_mva050 50 Day MA
5041 VGSTX.Volume_YoY Year over Year
5042 VGSTX.Volume_YoY4 4 Year over 4 Year
5043 VGSTX.Volume_YoY5 5 Year over 5 Year
5044 VGSTX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5045 VGSTX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
5046 VGSTX.Volume_SmoothDer Derivative of Smoothed
5047 VGSTX.Volume_Log Log of
5048 VGSTX.Volume_mva365 365 Day MA
5049 VGSTX.Volume_mva200 200 Day MA
5050 VGSTX.Volume_mva050 50 Day MA
5054 VGSTX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5058 VGSTX.Adjusted_mva365 365 Day MA
5059 VGSTX.Adjusted_mva200 200 Day MA
5060 VGSTX.Adjusted_mva050 50 Day MA
5068 VFINX.Open_mva365 365 Day MA
5069 VFINX.Open_mva200 200 Day MA
5078 VFINX.High_mva365 365 Day MA
5079 VFINX.High_mva200 200 Day MA
5088 VFINX.Low_mva365 365 Day MA
5089 VFINX.Low_mva200 200 Day MA
5098 VFINX.Close_mva365 365 Day MA
5099 VFINX.Close_mva200 200 Day MA
5101 VFINX.Volume_YoY Year over Year
5102 VFINX.Volume_YoY4 4 Year over 4 Year
5103 VFINX.Volume_YoY5 5 Year over 5 Year
5104 VFINX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5105 VFINX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
5106 VFINX.Volume_SmoothDer Derivative of Smoothed
5107 VFINX.Volume_Log Log of
5108 VFINX.Volume_mva365 365 Day MA
5109 VFINX.Volume_mva200 200 Day MA
5110 VFINX.Volume_mva050 50 Day MA
5118 VFINX.Adjusted_mva365 365 Day MA
5119 VFINX.Adjusted_mva200 200 Day MA
5124 VOE.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5128 VOE.Open_mva365 365 Day MA
5129 VOE.Open_mva200 200 Day MA
5130 VOE.Open_mva050 50 Day MA
5134 VOE.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5138 VOE.High_mva365 365 Day MA
5139 VOE.High_mva200 200 Day MA
5140 VOE.High_mva050 50 Day MA
5144 VOE.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5148 VOE.Low_mva365 365 Day MA
5149 VOE.Low_mva200 200 Day MA
5150 VOE.Low_mva050 50 Day MA
5154 VOE.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5158 VOE.Close_mva365 365 Day MA
5159 VOE.Close_mva200 200 Day MA
5160 VOE.Close_mva050 50 Day MA
5174 VOE.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5178 VOE.Adjusted_mva365 365 Day MA
5179 VOE.Adjusted_mva200 200 Day MA
5180 VOE.Adjusted_mva050 50 Day MA
5188 VOT.Open_mva365 365 Day MA
5189 VOT.Open_mva200 200 Day MA
5198 VOT.High_mva365 365 Day MA
5199 VOT.High_mva200 200 Day MA
5208 VOT.Low_mva365 365 Day MA
5209 VOT.Low_mva200 200 Day MA
5218 VOT.Close_mva365 365 Day MA
5219 VOT.Close_mva200 200 Day MA
5224 VOT.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5226 VOT.Volume_SmoothDer Derivative of Smoothed
5238 VOT.Adjusted_mva365 365 Day MA
5239 VOT.Adjusted_mva200 200 Day MA
5241 TMFGX.Open_YoY Year over Year
5247 TMFGX.Open_Log Log of
5248 TMFGX.Open_mva365 365 Day MA
5249 TMFGX.Open_mva200 200 Day MA
5250 TMFGX.Open_mva050 50 Day MA
5251 TMFGX.High_YoY Year over Year
5257 TMFGX.High_Log Log of
5258 TMFGX.High_mva365 365 Day MA
5259 TMFGX.High_mva200 200 Day MA
5260 TMFGX.High_mva050 50 Day MA
5261 TMFGX.Low_YoY Year over Year
5267 TMFGX.Low_Log Log of
5268 TMFGX.Low_mva365 365 Day MA
5269 TMFGX.Low_mva200 200 Day MA
5270 TMFGX.Low_mva050 50 Day MA
5271 TMFGX.Close_YoY Year over Year
5277 TMFGX.Close_Log Log of
5278 TMFGX.Close_mva365 365 Day MA
5279 TMFGX.Close_mva200 200 Day MA
5280 TMFGX.Close_mva050 50 Day MA
5281 TMFGX.Volume_YoY Year over Year
5282 TMFGX.Volume_YoY4 4 Year over 4 Year
5283 TMFGX.Volume_YoY5 5 Year over 5 Year
5284 TMFGX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5285 TMFGX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
5286 TMFGX.Volume_SmoothDer Derivative of Smoothed
5287 TMFGX.Volume_Log Log of
5288 TMFGX.Volume_mva365 365 Day MA
5289 TMFGX.Volume_mva200 200 Day MA
5290 TMFGX.Volume_mva050 50 Day MA
5291 TMFGX.Adjusted_YoY Year over Year
5297 TMFGX.Adjusted_Log Log of
5298 TMFGX.Adjusted_mva365 365 Day MA
5299 TMFGX.Adjusted_mva200 200 Day MA
5300 TMFGX.Adjusted_mva050 50 Day MA
5304 IWM.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5308 IWM.Open_mva365 365 Day MA
5309 IWM.Open_mva200 200 Day MA
5314 IWM.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5318 IWM.High_mva365 365 Day MA
5319 IWM.High_mva200 200 Day MA
5324 IWM.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5328 IWM.Low_mva365 365 Day MA
5329 IWM.Low_mva200 200 Day MA
5334 IWM.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5338 IWM.Close_mva365 365 Day MA
5339 IWM.Close_mva200 200 Day MA
5344 IWM.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5354 IWM.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5358 IWM.Adjusted_mva365 365 Day MA
5359 IWM.Adjusted_mva200 200 Day MA
5368 ONEQ.Open_mva365 365 Day MA
5369 ONEQ.Open_mva200 200 Day MA
5378 ONEQ.High_mva365 365 Day MA
5379 ONEQ.High_mva200 200 Day MA
5388 ONEQ.Low_mva365 365 Day MA
5389 ONEQ.Low_mva200 200 Day MA
5398 ONEQ.Close_mva365 365 Day MA
5399 ONEQ.Close_mva200 200 Day MA
5404 ONEQ.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5406 ONEQ.Volume_SmoothDer Derivative of Smoothed
5409 ONEQ.Volume_mva200 200 Day MA
5418 ONEQ.Adjusted_mva365 365 Day MA
5419 ONEQ.Adjusted_mva200 200 Day MA
5428 FSMAX.Open_mva365 365 Day MA
5429 FSMAX.Open_mva200 200 Day MA
5438 FSMAX.High_mva365 365 Day MA
5439 FSMAX.High_mva200 200 Day MA
5448 FSMAX.Low_mva365 365 Day MA
5449 FSMAX.Low_mva200 200 Day MA
5458 FSMAX.Close_mva365 365 Day MA
5459 FSMAX.Close_mva200 200 Day MA
5461 FSMAX.Volume_YoY Year over Year
5462 FSMAX.Volume_YoY4 4 Year over 4 Year
5463 FSMAX.Volume_YoY5 5 Year over 5 Year
5464 FSMAX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5465 FSMAX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
5466 FSMAX.Volume_SmoothDer Derivative of Smoothed
5467 FSMAX.Volume_Log Log of
5468 FSMAX.Volume_mva365 365 Day MA
5469 FSMAX.Volume_mva200 200 Day MA
5470 FSMAX.Volume_mva050 50 Day MA
5478 FSMAX.Adjusted_mva365 365 Day MA
5479 FSMAX.Adjusted_mva200 200 Day MA
5484 FXNAX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5485 FXNAX.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
5487 FXNAX.Open_Log Log of
5489 FXNAX.Open_mva200 200 Day MA
5490 FXNAX.Open_mva050 50 Day MA
5494 FXNAX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5495 FXNAX.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
5497 FXNAX.High_Log Log of
5499 FXNAX.High_mva200 200 Day MA
5500 FXNAX.High_mva050 50 Day MA
5504 FXNAX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5505 FXNAX.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
5507 FXNAX.Low_Log Log of
5509 FXNAX.Low_mva200 200 Day MA
5510 FXNAX.Low_mva050 50 Day MA
5514 FXNAX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5515 FXNAX.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
5517 FXNAX.Close_Log Log of
5519 FXNAX.Close_mva200 200 Day MA
5520 FXNAX.Close_mva050 50 Day MA
5521 FXNAX.Volume_YoY Year over Year
5522 FXNAX.Volume_YoY4 4 Year over 4 Year
5523 FXNAX.Volume_YoY5 5 Year over 5 Year
5524 FXNAX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5525 FXNAX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
5526 FXNAX.Volume_SmoothDer Derivative of Smoothed
5527 FXNAX.Volume_Log Log of
5528 FXNAX.Volume_mva365 365 Day MA
5529 FXNAX.Volume_mva200 200 Day MA
5530 FXNAX.Volume_mva050 50 Day MA
5534 FXNAX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5535 FXNAX.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
5537 FXNAX.Adjusted_Log Log of
5538 FXNAX.Adjusted_mva365 365 Day MA
5539 FXNAX.Adjusted_mva200 200 Day MA
5540 FXNAX.Adjusted_mva050 50 Day MA
5548 HAINX.Open_mva365 365 Day MA
5549 HAINX.Open_mva200 200 Day MA
5550 HAINX.Open_mva050 50 Day MA
5558 HAINX.High_mva365 365 Day MA
5559 HAINX.High_mva200 200 Day MA
5560 HAINX.High_mva050 50 Day MA
5568 HAINX.Low_mva365 365 Day MA
5569 HAINX.Low_mva200 200 Day MA
5570 HAINX.Low_mva050 50 Day MA
5578 HAINX.Close_mva365 365 Day MA
5579 HAINX.Close_mva200 200 Day MA
5580 HAINX.Close_mva050 50 Day MA
5581 HAINX.Volume_YoY Year over Year
5582 HAINX.Volume_YoY4 4 Year over 4 Year
5583 HAINX.Volume_YoY5 5 Year over 5 Year
5584 HAINX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5585 HAINX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
5586 HAINX.Volume_SmoothDer Derivative of Smoothed
5587 HAINX.Volume_Log Log of
5588 HAINX.Volume_mva365 365 Day MA
5589 HAINX.Volume_mva200 200 Day MA
5590 HAINX.Volume_mva050 50 Day MA
5598 HAINX.Adjusted_mva365 365 Day MA
5599 HAINX.Adjusted_mva200 200 Day MA
5600 HAINX.Adjusted_mva050 50 Day MA
5608 HNACX.Open_mva365 365 Day MA
5609 HNACX.Open_mva200 200 Day MA
5618 HNACX.High_mva365 365 Day MA
5619 HNACX.High_mva200 200 Day MA
5628 HNACX.Low_mva365 365 Day MA
5629 HNACX.Low_mva200 200 Day MA
5638 HNACX.Close_mva365 365 Day MA
5639 HNACX.Close_mva200 200 Day MA
5641 HNACX.Volume_YoY Year over Year
5642 HNACX.Volume_YoY4 4 Year over 4 Year
5643 HNACX.Volume_YoY5 5 Year over 5 Year
5644 HNACX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5645 HNACX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
5646 HNACX.Volume_SmoothDer Derivative of Smoothed
5647 HNACX.Volume_Log Log of
5648 HNACX.Volume_mva365 365 Day MA
5649 HNACX.Volume_mva200 200 Day MA
5650 HNACX.Volume_mva050 50 Day MA
5658 HNACX.Adjusted_mva365 365 Day MA
5659 HNACX.Adjusted_mva200 200 Day MA
5668 VEU.Open_mva365 365 Day MA
5669 VEU.Open_mva200 200 Day MA
5678 VEU.High_mva365 365 Day MA
5679 VEU.High_mva200 200 Day MA
5688 VEU.Low_mva365 365 Day MA
5689 VEU.Low_mva200 200 Day MA
5690 VEU.Low_mva050 50 Day MA
5698 VEU.Close_mva365 365 Day MA
5699 VEU.Close_mva200 200 Day MA
5700 VEU.Close_mva050 50 Day MA
5706 VEU.Volume_SmoothDer Derivative of Smoothed
5718 VEU.Adjusted_mva365 365 Day MA
5719 VEU.Adjusted_mva200 200 Day MA
5720 VEU.Adjusted_mva050 50 Day MA
5724 VEIRX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5726 VEIRX.Open_SmoothDer Derivative of Smoothed
5728 VEIRX.Open_mva365 365 Day MA
5729 VEIRX.Open_mva200 200 Day MA
5730 VEIRX.Open_mva050 50 Day MA
5734 VEIRX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5736 VEIRX.High_SmoothDer Derivative of Smoothed
5738 VEIRX.High_mva365 365 Day MA
5739 VEIRX.High_mva200 200 Day MA
5740 VEIRX.High_mva050 50 Day MA
5744 VEIRX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5746 VEIRX.Low_SmoothDer Derivative of Smoothed
5748 VEIRX.Low_mva365 365 Day MA
5749 VEIRX.Low_mva200 200 Day MA
5750 VEIRX.Low_mva050 50 Day MA
5754 VEIRX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5756 VEIRX.Close_SmoothDer Derivative of Smoothed
5758 VEIRX.Close_mva365 365 Day MA
5759 VEIRX.Close_mva200 200 Day MA
5760 VEIRX.Close_mva050 50 Day MA
5761 VEIRX.Volume_YoY Year over Year
5762 VEIRX.Volume_YoY4 4 Year over 4 Year
5763 VEIRX.Volume_YoY5 5 Year over 5 Year
5764 VEIRX.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5765 VEIRX.Volume_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
5766 VEIRX.Volume_SmoothDer Derivative of Smoothed
5767 VEIRX.Volume_Log Log of
5768 VEIRX.Volume_mva365 365 Day MA
5769 VEIRX.Volume_mva200 200 Day MA
5770 VEIRX.Volume_mva050 50 Day MA
5774 VEIRX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5778 VEIRX.Adjusted_mva365 365 Day MA
5779 VEIRX.Adjusted_mva200 200 Day MA
5780 VEIRX.Adjusted_mva050 50 Day MA
5786 BIL.Open_SmoothDer Derivative of Smoothed
5796 BIL.High_SmoothDer Derivative of Smoothed
5806 BIL.Low_SmoothDer Derivative of Smoothed
5816 BIL.Close_SmoothDer Derivative of Smoothed
5824 BIL.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5826 BIL.Volume_SmoothDer Derivative of Smoothed
5830 BIL.Volume_mva050 50 Day MA
5832 BIL.Adjusted_YoY4 4 Year over 4 Year
5833 BIL.Adjusted_YoY5 5 Year over 5 Year
5834 BIL.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5837 BIL.Adjusted_Log Log of
5838 BIL.Adjusted_mva365 365 Day MA
5839 BIL.Adjusted_mva200 200 Day MA
5840 BIL.Adjusted_mva050 50 Day MA
5848 IVOO.Open_mva365 365 Day MA
5849 IVOO.Open_mva200 200 Day MA
5858 IVOO.High_mva365 365 Day MA
5859 IVOO.High_mva200 200 Day MA
5868 IVOO.Low_mva365 365 Day MA
5869 IVOO.Low_mva200 200 Day MA
5878 IVOO.Close_mva365 365 Day MA
5879 IVOO.Close_mva200 200 Day MA
5884 IVOO.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5886 IVOO.Volume_SmoothDer Derivative of Smoothed
5887 IVOO.Volume_Log Log of
5898 IVOO.Adjusted_mva365 365 Day MA
5899 IVOO.Adjusted_mva200 200 Day MA
5908 VO.Open_mva365 365 Day MA
5909 VO.Open_mva200 200 Day MA
5910 VO.Open_mva050 50 Day MA
5918 VO.High_mva365 365 Day MA
5919 VO.High_mva200 200 Day MA
5920 VO.High_mva050 50 Day MA
5928 VO.Low_mva365 365 Day MA
5929 VO.Low_mva200 200 Day MA
5930 VO.Low_mva050 50 Day MA
5938 VO.Close_mva365 365 Day MA
5939 VO.Close_mva200 200 Day MA
5940 VO.Close_mva050 50 Day MA
5947 VO.Volume_Log Log of
5958 VO.Adjusted_mva365 365 Day MA
5959 VO.Adjusted_mva200 200 Day MA
5960 VO.Adjusted_mva050 50 Day MA
5964 CZA.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5968 CZA.Open_mva365 365 Day MA
5969 CZA.Open_mva200 200 Day MA
5970 CZA.Open_mva050 50 Day MA
5974 CZA.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5978 CZA.High_mva365 365 Day MA
5979 CZA.High_mva200 200 Day MA
5980 CZA.High_mva050 50 Day MA
5984 CZA.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5988 CZA.Low_mva365 365 Day MA
5989 CZA.Low_mva200 200 Day MA
5990 CZA.Low_mva050 50 Day MA
5994 CZA.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
5998 CZA.Close_mva365 365 Day MA
5999 CZA.Close_mva200 200 Day MA
6000 CZA.Close_mva050 50 Day MA
6007 CZA.Volume_Log Log of
6018 CZA.Adjusted_mva365 365 Day MA
6019 CZA.Adjusted_mva200 200 Day MA
6020 CZA.Adjusted_mva050 50 Day MA
6024 VYM.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6028 VYM.Open_mva365 365 Day MA
6029 VYM.Open_mva200 200 Day MA
6030 VYM.Open_mva050 50 Day MA
6034 VYM.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6038 VYM.High_mva365 365 Day MA
6039 VYM.High_mva200 200 Day MA
6040 VYM.High_mva050 50 Day MA
6044 VYM.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6048 VYM.Low_mva365 365 Day MA
6049 VYM.Low_mva200 200 Day MA
6050 VYM.Low_mva050 50 Day MA
6054 VYM.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6058 VYM.Close_mva365 365 Day MA
6059 VYM.Close_mva200 200 Day MA
6060 VYM.Close_mva050 50 Day MA
6074 VYM.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6078 VYM.Adjusted_mva365 365 Day MA
6079 VYM.Adjusted_mva200 200 Day MA
6080 VYM.Adjusted_mva050 50 Day MA
6088 ACWI.Open_mva365 365 Day MA
6089 ACWI.Open_mva200 200 Day MA
6098 ACWI.High_mva365 365 Day MA
6099 ACWI.High_mva200 200 Day MA
6108 ACWI.Low_mva365 365 Day MA
6109 ACWI.Low_mva200 200 Day MA
6118 ACWI.Close_mva365 365 Day MA
6119 ACWI.Close_mva200 200 Day MA
6138 ACWI.Adjusted_mva365 365 Day MA
6139 ACWI.Adjusted_mva200 200 Day MA
6146 SLY.Open_SmoothDer Derivative of Smoothed
6147 SLY.Open_Log Log of
6149 SLY.Open_mva200 200 Day MA
6150 SLY.Open_mva050 50 Day MA
6156 SLY.High_SmoothDer Derivative of Smoothed
6157 SLY.High_Log Log of
6159 SLY.High_mva200 200 Day MA
6160 SLY.High_mva050 50 Day MA
6166 SLY.Low_SmoothDer Derivative of Smoothed
6167 SLY.Low_Log Log of
6169 SLY.Low_mva200 200 Day MA
6170 SLY.Low_mva050 50 Day MA
6176 SLY.Close_SmoothDer Derivative of Smoothed
6177 SLY.Close_Log Log of
6179 SLY.Close_mva200 200 Day MA
6180 SLY.Close_mva050 50 Day MA
6187 SLY.Volume_Log Log of
6189 SLY.Volume_mva200 200 Day MA
6190 SLY.Volume_mva050 50 Day MA
6196 SLY.Adjusted_SmoothDer Derivative of Smoothed
6197 SLY.Adjusted_Log Log of
6199 SLY.Adjusted_mva200 200 Day MA
6200 SLY.Adjusted_mva050 50 Day MA
6208 QQQ.Open_mva365 365 Day MA
6209 QQQ.Open_mva200 200 Day MA
6218 QQQ.High_mva365 365 Day MA
6219 QQQ.High_mva200 200 Day MA
6228 QQQ.Low_mva365 365 Day MA
6229 QQQ.Low_mva200 200 Day MA
6238 QQQ.Close_mva365 365 Day MA
6239 QQQ.Close_mva200 200 Day MA
6246 QQQ.Volume_SmoothDer Derivative of Smoothed
6258 QQQ.Adjusted_mva365 365 Day MA
6259 QQQ.Adjusted_mva200 200 Day MA
6264 HYMB.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6265 HYMB.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
6268 HYMB.Open_mva365 365 Day MA
6269 HYMB.Open_mva200 200 Day MA
6270 HYMB.Open_mva050 50 Day MA
6274 HYMB.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6275 HYMB.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
6278 HYMB.High_mva365 365 Day MA
6279 HYMB.High_mva200 200 Day MA
6280 HYMB.High_mva050 50 Day MA
6284 HYMB.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6288 HYMB.Low_mva365 365 Day MA
6289 HYMB.Low_mva200 200 Day MA
6290 HYMB.Low_mva050 50 Day MA
6291 HYMB.Close_YoY Year over Year
6294 HYMB.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6295 HYMB.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
6298 HYMB.Close_mva365 365 Day MA
6299 HYMB.Close_mva200 200 Day MA
6300 HYMB.Close_mva050 50 Day MA
6306 HYMB.Volume_SmoothDer Derivative of Smoothed
6307 HYMB.Volume_Log Log of
6308 HYMB.Volume_mva365 365 Day MA
6311 HYMB.Adjusted_YoY Year over Year
6314 HYMB.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6315 HYMB.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
6317 HYMB.Adjusted_Log Log of
6318 HYMB.Adjusted_mva365 365 Day MA
6319 HYMB.Adjusted_mva200 200 Day MA
6320 HYMB.Adjusted_mva050 50 Day MA
6324 GOLD.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6326 GOLD.Open_SmoothDer Derivative of Smoothed
6327 GOLD.Open_Log Log of
6329 GOLD.Open_mva200 200 Day MA
6330 GOLD.Open_mva050 50 Day MA
6334 GOLD.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6336 GOLD.High_SmoothDer Derivative of Smoothed
6339 GOLD.High_mva200 200 Day MA
6340 GOLD.High_mva050 50 Day MA
6344 GOLD.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6346 GOLD.Low_SmoothDer Derivative of Smoothed
6349 GOLD.Low_mva200 200 Day MA
6350 GOLD.Low_mva050 50 Day MA
6354 GOLD.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6356 GOLD.Close_SmoothDer Derivative of Smoothed
6359 GOLD.Close_mva200 200 Day MA
6360 GOLD.Close_mva050 50 Day MA
6367 GOLD.Volume_Log Log of
6368 GOLD.Volume_mva365 365 Day MA
6374 GOLD.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6376 GOLD.Adjusted_SmoothDer Derivative of Smoothed
6378 GOLD.Adjusted_mva365 365 Day MA
6379 GOLD.Adjusted_mva200 200 Day MA
6380 GOLD.Adjusted_mva050 50 Day MA
6384 BKR.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6386 BKR.Open_SmoothDer Derivative of Smoothed
6387 BKR.Open_Log Log of
6389 BKR.Open_mva200 200 Day MA
6394 BKR.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6396 BKR.High_SmoothDer Derivative of Smoothed
6399 BKR.High_mva200 200 Day MA
6404 BKR.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6406 BKR.Low_SmoothDer Derivative of Smoothed
6409 BKR.Low_mva200 200 Day MA
6414 BKR.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6416 BKR.Close_SmoothDer Derivative of Smoothed
6419 BKR.Close_mva200 200 Day MA
6427 BKR.Volume_Log Log of
6434 BKR.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6436 BKR.Adjusted_SmoothDer Derivative of Smoothed
6439 BKR.Adjusted_mva200 200 Day MA
6446 SLB.Open_SmoothDer Derivative of Smoothed
6456 SLB.High_SmoothDer Derivative of Smoothed
6466 SLB.Low_SmoothDer Derivative of Smoothed
6476 SLB.Close_SmoothDer Derivative of Smoothed
6496 SLB.Adjusted_SmoothDer Derivative of Smoothed
6506 HAL.Open_SmoothDer Derivative of Smoothed
6507 HAL.Open_Log Log of
6516 HAL.High_SmoothDer Derivative of Smoothed
6526 HAL.Low_SmoothDer Derivative of Smoothed
6536 HAL.Close_SmoothDer Derivative of Smoothed
6544 HAL.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6547 HAL.Volume_Log Log of
6556 HAL.Adjusted_SmoothDer Derivative of Smoothed
6564 IP.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6566 IP.Open_SmoothDer Derivative of Smoothed
6567 IP.Open_Log Log of
6568 IP.Open_mva365 365 Day MA
6569 IP.Open_mva200 200 Day MA
6570 IP.Open_mva050 50 Day MA
6574 IP.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6576 IP.High_SmoothDer Derivative of Smoothed
6578 IP.High_mva365 365 Day MA
6579 IP.High_mva200 200 Day MA
6580 IP.High_mva050 50 Day MA
6584 IP.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6586 IP.Low_SmoothDer Derivative of Smoothed
6588 IP.Low_mva365 365 Day MA
6589 IP.Low_mva200 200 Day MA
6590 IP.Low_mva050 50 Day MA
6594 IP.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6596 IP.Close_SmoothDer Derivative of Smoothed
6598 IP.Close_mva365 365 Day MA
6599 IP.Close_mva200 200 Day MA
6600 IP.Close_mva050 50 Day MA
6614 IP.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6616 IP.Adjusted_SmoothDer Derivative of Smoothed
6618 IP.Adjusted_mva365 365 Day MA
6619 IP.Adjusted_mva200 200 Day MA
6620 IP.Adjusted_mva050 50 Day MA
6624 PKG.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6626 PKG.Open_SmoothDer Derivative of Smoothed
6628 PKG.Open_mva365 365 Day MA
6629 PKG.Open_mva200 200 Day MA
6630 PKG.Open_mva050 50 Day MA
6634 PKG.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6636 PKG.High_SmoothDer Derivative of Smoothed
6638 PKG.High_mva365 365 Day MA
6639 PKG.High_mva200 200 Day MA
6640 PKG.High_mva050 50 Day MA
6644 PKG.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6646 PKG.Low_SmoothDer Derivative of Smoothed
6648 PKG.Low_mva365 365 Day MA
6649 PKG.Low_mva200 200 Day MA
6650 PKG.Low_mva050 50 Day MA
6654 PKG.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6658 PKG.Close_mva365 365 Day MA
6659 PKG.Close_mva200 200 Day MA
6660 PKG.Close_mva050 50 Day MA
6674 PKG.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6678 PKG.Adjusted_mva365 365 Day MA
6679 PKG.Adjusted_mva200 200 Day MA
6680 PKG.Adjusted_mva050 50 Day MA
6724 UPS.Volume_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6726 UPS.Volume_SmoothDer Derivative of Smoothed
6728 UPS.Volume_mva365 365 Day MA
6730 UPS.Volume_mva050 50 Day MA
6744 FDX.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6746 FDX.Open_SmoothDer Derivative of Smoothed
6748 FDX.Open_mva365 365 Day MA
6749 FDX.Open_mva200 200 Day MA
6754 FDX.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6756 FDX.High_SmoothDer Derivative of Smoothed
6758 FDX.High_mva365 365 Day MA
6759 FDX.High_mva200 200 Day MA
6764 FDX.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6766 FDX.Low_SmoothDer Derivative of Smoothed
6768 FDX.Low_mva365 365 Day MA
6769 FDX.Low_mva200 200 Day MA
6774 FDX.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6776 FDX.Close_SmoothDer Derivative of Smoothed
6778 FDX.Close_mva365 365 Day MA
6779 FDX.Close_mva200 200 Day MA
6794 FDX.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6796 FDX.Adjusted_SmoothDer Derivative of Smoothed
6798 FDX.Adjusted_mva365 365 Day MA
6799 FDX.Adjusted_mva200 200 Day MA
6802 T.Open_YoY4 4 Year over 4 Year
6804 T.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6805 T.Open_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
6807 T.Open_Log Log of
6808 T.Open_mva365 365 Day MA
6809 T.Open_mva200 200 Day MA
6810 T.Open_mva050 50 Day MA
6812 T.High_YoY4 4 Year over 4 Year
6814 T.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6815 T.High_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
6818 T.High_mva365 365 Day MA
6819 T.High_mva200 200 Day MA
6820 T.High_mva050 50 Day MA
6822 T.Low_YoY4 4 Year over 4 Year
6824 T.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6825 T.Low_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
6827 T.Low_Log Log of
6828 T.Low_mva365 365 Day MA
6829 T.Low_mva200 200 Day MA
6830 T.Low_mva050 50 Day MA
6834 T.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6835 T.Close_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
6837 T.Close_Log Log of
6838 T.Close_mva365 365 Day MA
6839 T.Close_mva200 200 Day MA
6840 T.Close_mva050 50 Day MA
6846 T.Volume_SmoothDer Derivative of Smoothed
6854 T.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6855 T.Adjusted_Smooth.short Savitsky-Golay Smoothed (p=3, n=15)
6857 T.Adjusted_Log Log of
6858 T.Adjusted_mva365 365 Day MA
6859 T.Adjusted_mva200 200 Day MA
6860 T.Adjusted_mva050 50 Day MA
6864 VZ.Open_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6868 VZ.Open_mva365 365 Day MA
6874 VZ.High_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6878 VZ.High_mva365 365 Day MA
6884 VZ.Low_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6888 VZ.Low_mva365 365 Day MA
6889 VZ.Low_mva200 200 Day MA
6894 VZ.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6898 VZ.Close_mva365 365 Day MA
6899 VZ.Close_mva200 200 Day MA
6906 VZ.Volume_SmoothDer Derivative of Smoothed
6914 VZ.Adjusted_Smooth Savitsky-Golay Smoothed (p=3, n=365)
6918 VZ.Adjusted_mva365 365 Day MA
6919 VZ.Adjusted_mva200 200 Day MA
6921 ISMMANPMI_YoY Institute of Supply Managment PMI Composite Index Year over Year
6927 ISMMANPMI_Log Log of Institute of Supply Managment PMI Composite Index
6928 ISMMANPMI_mva365 Institute of Supply Managment PMI Composite Index 365 Day MA
6929 ISMMANPMI_mva200 Institute of Supply Managment PMI Composite Index 200 Day MA
6930 ISMMANPMI_mva050 Institute of Supply Managment PMI Composite Index 50 Day MA
6937 MULTPLSP500PERATIOMONTH_Log Log of S&P 500 TTM P/E
6938 MULTPLSP500PERATIOMONTH_mva365 S&P 500 TTM P/E 365 Day MA
6939 MULTPLSP500PERATIOMONTH_mva200 S&P 500 TTM P/E 200 Day MA
6940 MULTPLSP500PERATIOMONTH_mva050 S&P 500 TTM P/E 50 Day MA
6942 MULTPLSP500SALESQUARTER_YoY4 S&P 500 TTM Sales (Not Inflation Adjusted) 4 Year over 4 Year
6944 MULTPLSP500SALESQUARTER_Smooth Savitsky-Golay Smoothed (p=3, n=365) S&P 500 TTM Sales (Not Inflation Adjusted)
6946 MULTPLSP500SALESQUARTER_SmoothDer Derivative of Smoothed S&P 500 TTM Sales (Not Inflation Adjusted)
6947 MULTPLSP500SALESQUARTER_Log Log of S&P 500 TTM Sales (Not Inflation Adjusted)
6948 MULTPLSP500SALESQUARTER_mva365 S&P 500 TTM Sales (Not Inflation Adjusted) 365 Day MA
6949 MULTPLSP500SALESQUARTER_mva200 S&P 500 TTM Sales (Not Inflation Adjusted) 200 Day MA
6950 MULTPLSP500SALESQUARTER_mva050 S&P 500 TTM Sales (Not Inflation Adjusted) 50 Day MA
6954 MULTPLSP500DIVYIELDMONTH_Smooth Savitsky-Golay Smoothed (p=3, n=365) S&P 500 Dividend Yield by Month
6957 MULTPLSP500DIVYIELDMONTH_Log Log of S&P 500 Dividend Yield by Month
6960 MULTPLSP500DIVYIELDMONTH_mva050 S&P 500 Dividend Yield by Month 50 Day MA
6962 MULTPLSP500DIVMONTH_YoY4 S&P 500 Dividend by Month (Inflation Adjusted) 4 Year over 4 Year
6967 MULTPLSP500DIVMONTH_Log Log of S&P 500 Dividend by Month (Inflation Adjusted)
6968 MULTPLSP500DIVMONTH_mva365 S&P 500 Dividend by Month (Inflation Adjusted) 365 Day MA
6969 MULTPLSP500DIVMONTH_mva200 S&P 500 Dividend by Month (Inflation Adjusted) 200 Day MA
6970 MULTPLSP500DIVMONTH_mva050 S&P 500 Dividend by Month (Inflation Adjusted) 50 Day MA
6971 CHRISCMEHG1_YoY Copper Futures, Continuous Contract #1 (HG1) (Front Month) Year over Year
6977 CHRISCMEHG1_Log Log of Copper Futures, Continuous Contract #1 (HG1) (Front Month)
6978 CHRISCMEHG1_mva365 Copper Futures, Continuous Contract #1 (HG1) (Front Month) 365 Day MA
6979 CHRISCMEHG1_mva200 Copper Futures, Continuous Contract #1 (HG1) (Front Month) 200 Day MA
6980 CHRISCMEHG1_mva050 Copper Futures, Continuous Contract #1 (HG1) (Front Month) 50 Day MA
6981 WWDIWLDISAIRGOODMTK1_YoY Air transport, freight Year over Year
6982 WWDIWLDISAIRGOODMTK1_YoY4 Air transport, freight 4 Year over 4 Year
6983 WWDIWLDISAIRGOODMTK1_YoY5 Air transport, freight 5 Year over 5 Year
6987 WWDIWLDISAIRGOODMTK1_Log Log of Air transport, freight
6988 WWDIWLDISAIRGOODMTK1_mva365 Air transport, freight 365 Day MA
6989 WWDIWLDISAIRGOODMTK1_mva200 Air transport, freight 200 Day MA
6990 WWDIWLDISAIRGOODMTK1_mva050 Air transport, freight 50 Day MA
6997 LBMAGOLD.USD_AM_Log Log of
6998 LBMAGOLD.USD_AM_mva365 365 Day MA
6999 LBMAGOLD.USD_AM_mva200 200 Day MA
7000 LBMAGOLD.USD_AM_mva050 50 Day MA
7007 LBMAGOLD.USD_PM_Log Log of
7008 LBMAGOLD.USD_PM_mva365 365 Day MA
7009 LBMAGOLD.USD_PM_mva200 200 Day MA
7010 LBMAGOLD.USD_PM_mva050 50 Day MA
7014 LBMAGOLD.GBP_AM_Smooth Savitsky-Golay Smoothed (p=3, n=365)
7017 LBMAGOLD.GBP_AM_Log Log of
7018 LBMAGOLD.GBP_AM_mva365 365 Day MA
7019 LBMAGOLD.GBP_AM_mva200 200 Day MA
7020 LBMAGOLD.GBP_AM_mva050 50 Day MA
7024 LBMAGOLD.GBP_PM_Smooth Savitsky-Golay Smoothed (p=3, n=365)
7027 LBMAGOLD.GBP_PM_Log Log of
7028 LBMAGOLD.GBP_PM_mva365 365 Day MA
7029 LBMAGOLD.GBP_PM_mva200 200 Day MA
7030 LBMAGOLD.GBP_PM_mva050 50 Day MA
7034 LBMAGOLD.EURO_AM_Smooth Savitsky-Golay Smoothed (p=3, n=365)
7037 LBMAGOLD.EURO_AM_Log Log of
7038 LBMAGOLD.EURO_AM_mva365 365 Day MA
7039 LBMAGOLD.EURO_AM_mva200 200 Day MA
7040 LBMAGOLD.EURO_AM_mva050 50 Day MA
7044 LBMAGOLD.EURO_PM_Smooth Savitsky-Golay Smoothed (p=3, n=365)
7047 LBMAGOLD.EURO_PM_Log Log of
7048 LBMAGOLD.EURO_PM_mva365 365 Day MA
7049 LBMAGOLD.EURO_PM_mva200 200 Day MA
7050 LBMAGOLD.EURO_PM_mva050 50 Day MA
7051 PETA103600001M_YoY U.S. Total Gasoline Retail Sales by Refiners, Monthly Year over Year
7053 PETA103600001M_YoY5 U.S. Total Gasoline Retail Sales by Refiners, Monthly 5 Year over 5 Year
7057 PETA103600001M_Log Log of U.S. Total Gasoline Retail Sales by Refiners, Monthly
7058 PETA103600001M_mva365 U.S. Total Gasoline Retail Sales by Refiners, Monthly 365 Day MA
7059 PETA103600001M_mva200 U.S. Total Gasoline Retail Sales by Refiners, Monthly 200 Day MA
7060 PETA103600001M_mva050 U.S. Total Gasoline Retail Sales by Refiners, Monthly 50 Day MA
7061 PETA123600001M_YoY U.S. Regular Gasoline Retail Sales by Refiners, Monthly Year over Year
7067 PETA123600001M_Log Log of U.S. Regular Gasoline Retail Sales by Refiners, Monthly
7068 PETA123600001M_mva365 U.S. Regular Gasoline Retail Sales by Refiners, Monthly 365 Day MA
7069 PETA123600001M_mva200 U.S. Regular Gasoline Retail Sales by Refiners, Monthly 200 Day MA
7070 PETA123600001M_mva050 U.S. Regular Gasoline Retail Sales by Refiners, Monthly 50 Day MA
7071 PETA143B00001M_YoY U.S. Midgrade Gasoline Retail Sales by Refiners, Monthly Year over Year
7072 PETA143B00001M_YoY4 U.S. Midgrade Gasoline Retail Sales by Refiners, Monthly 4 Year over 4 Year
7073 PETA143B00001M_YoY5 U.S. Midgrade Gasoline Retail Sales by Refiners, Monthly 5 Year over 5 Year
7077 PETA143B00001M_Log Log of U.S. Midgrade Gasoline Retail Sales by Refiners, Monthly
7078 PETA143B00001M_mva365 U.S. Midgrade Gasoline Retail Sales by Refiners, Monthly 365 Day MA
7079 PETA143B00001M_mva200 U.S. Midgrade Gasoline Retail Sales by Refiners, Monthly 200 Day MA
7080 PETA143B00001M_mva050 U.S. Midgrade Gasoline Retail Sales by Refiners, Monthly 50 Day MA
7081 PETA133B00001M_YoY U.S. Premium Gasoline Bulk Sales (Volume) by Refiners, Monthly Year over Year
7087 PETA133B00001M_Log Log of U.S. Premium Gasoline Bulk Sales (Volume) by Refiners, Monthly
7088 PETA133B00001M_mva365 U.S. Premium Gasoline Bulk Sales (Volume) by Refiners, Monthly 365 Day MA
7089 PETA133B00001M_mva200 U.S. Premium Gasoline Bulk Sales (Volume) by Refiners, Monthly 200 Day MA
7090 PETA133B00001M_mva050 U.S. Premium Gasoline Bulk Sales (Volume) by Refiners, Monthly 50 Day MA
7091 TOTALOGNRPUSM_YoY Crude Oil and Natural Gas Rotary Rigs in Operation, Total, Monthly Year over Year
7093 TOTALOGNRPUSM_YoY5 Crude Oil and Natural Gas Rotary Rigs in Operation, Total, Monthly 5 Year over 5 Year
7101 TOTALPANRPUSM_YoY Crude Oil Rotary Rigs in Operation, Monthly Year over Year
7103 TOTALPANRPUSM_YoY5 Crude Oil Rotary Rigs in Operation, Monthly 5 Year over 5 Year
7113 TOTALNGNRPUSM_YoY5 Natural Gas Rotary Rigs in Operation, Monthly 5 Year over 5 Year
7121 BKRTotal_YoY Total Rig Count Year over Year
7123 BKRTotal_YoY5 Total Rig Count 5 Year over 5 Year
7127 BKRTotal_Log Log of Total Rig Count
7128 BKRTotal_mva365 Total Rig Count 365 Day MA
7129 BKRTotal_mva200 Total Rig Count 200 Day MA
7130 BKRTotal_mva050 Total Rig Count 50 Day MA
7131 BKRGas_YoY Gas Rig Count Year over Year
7133 BKRGas_YoY5 Gas Rig Count 5 Year over 5 Year
7137 BKRGas_Log Log of Gas Rig Count
7138 BKRGas_mva365 Gas Rig Count 365 Day MA
7139 BKRGas_mva200 Gas Rig Count 200 Day MA
7140 BKRGas_mva050 Gas Rig Count 50 Day MA
7141 BKROil_YoY Oil Rig Count Year over Year
7143 BKROil_YoY5 Oil Rig Count 5 Year over 5 Year
7147 BKROil_Log Log of Oil Rig Count
7148 BKROil_mva365 Oil Rig Count 365 Day MA
7149 BKROil_mva200 Oil Rig Count 200 Day MA
7150 BKROil_mva050 Oil Rig Count 50 Day MA
7151 FARMINCOME_YoY Net Farm Income Year over Year
7152 FARMINCOME_YoY4 Net Farm Income 4 Year over 4 Year
7153 FARMINCOME_YoY5 Net Farm Income 5 Year over 5 Year
7157 FARMINCOME_Log Log of Net Farm Income
7158 FARMINCOME_mva365 Net Farm Income 365 Day MA
7159 FARMINCOME_mva200 Net Farm Income 200 Day MA
7160 FARMINCOME_mva050 Net Farm Income 50 Day MA
7161 OPEARNINGSPERSHARE_YoY Operating Earnings per Share Year over Year
7167 OPEARNINGSPERSHARE_Log Log of Operating Earnings per Share
7168 OPEARNINGSPERSHARE_mva365 Operating Earnings per Share 365 Day MA
7169 OPEARNINGSPERSHARE_mva200 Operating Earnings per Share 200 Day MA
7170 OPEARNINGSPERSHARE_mva050 Operating Earnings per Share 50 Day MA
7171 AREARNINGSPERSHARE_YoY As-Reported Earnings per Share Year over Year
7177 AREARNINGSPERSHARE_Log Log of As-Reported Earnings per Share
7178 AREARNINGSPERSHARE_mva365 As-Reported Earnings per Share 365 Day MA
7179 AREARNINGSPERSHARE_mva200 As-Reported Earnings per Share 200 Day MA
7180 AREARNINGSPERSHARE_mva050 As-Reported Earnings per Share 50 Day MA
7181 CASHDIVIDENDSPERSHR_YoY Cash Dividends per Share Year over Year
7182 CASHDIVIDENDSPERSHR_YoY4 Cash Dividends per Share 4 Year over 4 Year
7187 CASHDIVIDENDSPERSHR_Log Log of Cash Dividends per Share
7188 CASHDIVIDENDSPERSHR_mva365 Cash Dividends per Share 365 Day MA
7189 CASHDIVIDENDSPERSHR_mva200 Cash Dividends per Share 200 Day MA
7190 CASHDIVIDENDSPERSHR_mva050 Cash Dividends per Share 50 Day MA
7191 SALESPERSHR_YoY Sales per Share Year over Year
7197 SALESPERSHR_Log Log of Sales per Share
7198 SALESPERSHR_mva365 Sales per Share 365 Day MA
7199 SALESPERSHR_mva200 Sales per Share 200 Day MA
7200 SALESPERSHR_mva050 Sales per Share 50 Day MA
7201 BOOKVALPERSHR_YoY Book value per Share Year over Year
7207 BOOKVALPERSHR_Log Log of Book value per Share
7208 BOOKVALPERSHR_mva365 Book value per Share 365 Day MA
7209 BOOKVALPERSHR_mva200 Book value per Share 200 Day MA
7210 BOOKVALPERSHR_mva050 Book value per Share 50 Day MA
7211 CAPEXPERSHR_YoY Cap ex per Share Year over Year
7217 CAPEXPERSHR_Log Log of Cap ex per Share
7218 CAPEXPERSHR_mva365 Cap ex per Share 365 Day MA
7219 CAPEXPERSHR_mva200 Cap ex per Share 200 Day MA
7220 CAPEXPERSHR_mva050 Cap ex per Share 50 Day MA
7221 PRICE_YoY Price Year over Year
7227 PRICE_Log Log of Price
7228 PRICE_mva365 Price 365 Day MA
7229 PRICE_mva200 Price 200 Day MA
7230 PRICE_mva050 Price 50 Day MA
7231 OPEARNINGSTTM_YoY TTM Operating Earnings Year over Year
7232 OPEARNINGSTTM_YoY4 TTM Operating Earnings 4 Year over 4 Year
7237 OPEARNINGSTTM_Log Log of TTM Operating Earnings
7238 OPEARNINGSTTM_mva365 TTM Operating Earnings 365 Day MA
7239 OPEARNINGSTTM_mva200 TTM Operating Earnings 200 Day MA
7240 OPEARNINGSTTM_mva050 TTM Operating Earnings 50 Day MA
7241 AREARNINGSTTM_YoY TTM Reported Earnings Year over Year
7242 AREARNINGSTTM_YoY4 TTM Reported Earnings 4 Year over 4 Year
7243 AREARNINGSTTM_YoY5 TTM Reported Earnings 5 Year over 5 Year
7247 AREARNINGSTTM_Log Log of TTM Reported Earnings
7248 AREARNINGSTTM_mva365 TTM Reported Earnings 365 Day MA
7249 AREARNINGSTTM_mva200 TTM Reported Earnings 200 Day MA
7250 AREARNINGSTTM_mva050 TTM Reported Earnings 50 Day MA
7253 FINRAMarginDebt_YoY5 Margin Debt 5 Year over 5 Year
7256 FINRAMarginDebt_SmoothDer Derivative of Smoothed Margin Debt
7257 FINRAMarginDebt_Log Log of Margin Debt
7258 FINRAMarginDebt_mva365 Margin Debt 365 Day MA
7259 FINRAMarginDebt_mva200 Margin Debt 200 Day MA
7260 FINRAMarginDebt_mva050 Margin Debt 50 Day MA
7261 FINRAFreeCreditMargin_YoY Free Credit Balances in Customers’ Securities Margin Accounts Year over Year
7267 FINRAFreeCreditMargin_Log Log of Free Credit Balances in Customers’ Securities Margin Accounts
7269 FINRAFreeCreditMargin_mva200 Free Credit Balances in Customers’ Securities Margin Accounts 200 Day MA
7270 FINRAFreeCreditMargin_mva050 Free Credit Balances in Customers’ Securities Margin Accounts 50 Day MA
7271 OCCEquityVolume_YoY Equity Options Volume Year over Year
7272 OCCEquityVolume_YoY4 Equity Options Volume 4 Year over 4 Year
7277 OCCEquityVolume_Log Log of Equity Options Volume
7278 OCCEquityVolume_mva365 Equity Options Volume 365 Day MA
7279 OCCEquityVolume_mva200 Equity Options Volume 200 Day MA
7280 OCCEquityVolume_mva050 Equity Options Volume 50 Day MA
7281 OCCNonEquityVolume_YoY Non-Equity Options Volume Year over Year
7282 OCCNonEquityVolume_YoY4 Non-Equity Options Volume 4 Year over 4 Year
7287 OCCNonEquityVolume_Log Log of Non-Equity Options Volume
7288 OCCNonEquityVolume_mva365 Non-Equity Options Volume 365 Day MA
7289 OCCNonEquityVolume_mva200 Non-Equity Options Volume 200 Day MA
7290 OCCNonEquityVolume_mva050 Non-Equity Options Volume 50 Day MA
7294 RSALESAGG_Smooth Savitsky-Golay Smoothed (p=3, n=365) Real Retail and Food Services Sales (RRSFS and RSALES)
7296 RSALESAGG_SmoothDer Derivative of Smoothed Real Retail and Food Services Sales (RRSFS and RSALES)
7297 RSALESAGG_Log Log of Real Retail and Food Services Sales (RRSFS and RSALES)
7300 RSALESAGG_mva050 Real Retail and Food Services Sales (RRSFS and RSALES) 50 Day MA
7304 BUSLOANS.minus.BUSLOANSNSA_Smooth Savitsky-Golay Smoothed (p=3, n=365) Business Loans (Montlhy) SA - NSA
7306 BUSLOANS.minus.BUSLOANSNSA_SmoothDer Derivative of Smoothed Business Loans (Montlhy) SA - NSA
7307 BUSLOANS.minus.BUSLOANSNSA_Log Log of Business Loans (Montlhy) SA - NSA
7310 BUSLOANS.minus.BUSLOANSNSA_mva050 Business Loans (Montlhy) SA - NSA 50 Day MA
7314 BUSLOANS.minus.BUSLOANSNSA.by.GDP_Smooth Savitsky-Golay Smoothed (p=3, n=365) Business Loans (Montlhy) SA - NSA divided by GDP
7316 BUSLOANS.minus.BUSLOANSNSA.by.GDP_SmoothDer Derivative of Smoothed Business Loans (Montlhy) SA - NSA divided by GDP
7317 BUSLOANS.minus.BUSLOANSNSA.by.GDP_Log Log of Business Loans (Montlhy) SA - NSA divided by GDP
7320 BUSLOANS.minus.BUSLOANSNSA.by.GDP_mva050 Business Loans (Montlhy) SA - NSA divided by GDP 50 Day MA
7322 BUSLOANS.by.GDP_YoY4 Business Loans Normalized by GDP 4 Year over 4 Year
7324 BUSLOANS.by.GDP_Smooth Savitsky-Golay Smoothed (p=3, n=365) Business Loans Normalized by GDP
7326 BUSLOANS.by.GDP_SmoothDer Derivative of Smoothed Business Loans Normalized by GDP
7346 BUSLOANS.INTEREST.by.GDP_SmoothDer Derivative of Smoothed Business Loans (Monthly, SA) Adjusted Interest Burden Divided by GDP
7352 BUSLOANSNSA.by.GDP_YoY4 Business Loans Normalized by GDP 4 Year over 4 Year
7353 BUSLOANSNSA.by.GDP_YoY5 Business Loans Normalized by GDP 5 Year over 5 Year
7361 TOTCI.by.GDP_YoY Business Loans (Weekly, SA) Normalized by GDP Year over Year
7364 TOTCI.by.GDP_Smooth Savitsky-Golay Smoothed (p=3, n=365) Business Loans (Weekly, SA) Normalized by GDP
7366 TOTCI.by.GDP_SmoothDer Derivative of Smoothed Business Loans (Weekly, SA) Normalized by GDP
7371 TOTCINSA.by.GDP_YoY Business Loans (Weekly, NSA) Normalized by GDP Year over Year
7401 W875RX1.by.GDP_YoY Real Personal Income Normalized by GDP Year over Year
7404 W875RX1.by.GDP_Smooth Savitsky-Golay Smoothed (p=3, n=365) Real Personal Income Normalized by GDP
7406 W875RX1.by.GDP_SmoothDer Derivative of Smoothed Real Personal Income Normalized by GDP
7407 W875RX1.by.GDP_Log Log of Real Personal Income Normalized by GDP
7411 A065RC1A027NBEA.by.GDP_YoY Personal Income (NSA) Normalized by GDP Year over Year
7416 A065RC1A027NBEA.by.GDP_SmoothDer Derivative of Smoothed Personal Income (NSA) Normalized by GDP
7421 PI.by.GDP_YoY Personal Income (SA) Normalized by GDP Year over Year
7424 PI.by.GDP_Smooth Savitsky-Golay Smoothed (p=3, n=365) Personal Income (SA) Normalized by GDP
7427 PI.by.GDP_Log Log of Personal Income (SA) Normalized by GDP
7429 PI.by.GDP_mva200 Personal Income (SA) Normalized by GDP 200 Day MA
7430 PI.by.GDP_mva050 Personal Income (SA) Normalized by GDP 50 Day MA
7437 A053RC1Q027SBEA.by.GDP_Log Log of National income: Corporate profits before tax (without IVA and CCAdj) Normalized by GDP
7438 A053RC1Q027SBEA.by.GDP_mva365 National income: Corporate profits before tax (without IVA and CCAdj) Normalized by GDP 365 Day MA
7439 A053RC1Q027SBEA.by.GDP_mva200 National income: Corporate profits before tax (without IVA and CCAdj) Normalized by GDP 200 Day MA
7440 A053RC1Q027SBEA.by.GDP_mva050 National income: Corporate profits before tax (without IVA and CCAdj) Normalized by GDP 50 Day MA
7446 CPROFIT.by.GDP_SmoothDer Derivative of Smoothed National income: Corporate profits before tax (with IVA and CCAdj) Normalized by GDP
7447 CPROFIT.by.GDP_Log Log of National income: Corporate profits before tax (with IVA and CCAdj) Normalized by GDP
7450 CPROFIT.by.GDP_mva050 National income: Corporate profits before tax (with IVA and CCAdj) Normalized by GDP 50 Day MA
7452 CONSUMERNSA.by.GDP_YoY4 Consumer Loans Not Seasonally Adjusted divided by GDP 4 Year over 4 Year
7454 CONSUMERNSA.by.GDP_Smooth Savitsky-Golay Smoothed (p=3, n=365) Consumer Loans Not Seasonally Adjusted divided by GDP
7456 CONSUMERNSA.by.GDP_SmoothDer Derivative of Smoothed Consumer Loans Not Seasonally Adjusted divided by GDP
7457 CONSUMERNSA.by.GDP_Log Log of Consumer Loans Not Seasonally Adjusted divided by GDP
7460 CONSUMERNSA.by.GDP_mva050 Consumer Loans Not Seasonally Adjusted divided by GDP 50 Day MA
7462 RREACBM027NBOG.by.GDP_YoY4 Residental Real Estate Loans (Monthly, NSA) divided by GDP 4 Year over 4 Year
7464 RREACBM027NBOG.by.GDP_Smooth Savitsky-Golay Smoothed (p=3, n=365) Residental Real Estate Loans (Monthly, NSA) divided by GDP
7466 RREACBM027NBOG.by.GDP_SmoothDer Derivative of Smoothed Residental Real Estate Loans (Monthly, NSA) divided by GDP
7467 RREACBM027NBOG.by.GDP_Log Log of Residental Real Estate Loans (Monthly, NSA) divided by GDP
7470 RREACBM027NBOG.by.GDP_mva050 Residental Real Estate Loans (Monthly, NSA) divided by GDP 50 Day MA
7472 RREACBM027SBOG.by.GDP_YoY4 Residental Real Estate Loans (Monthly, SA) divided by GDP 4 Year over 4 Year
7473 RREACBM027SBOG.by.GDP_YoY5 Residental Real Estate Loans (Monthly, SA) divided by GDP 5 Year over 5 Year
7474 RREACBM027SBOG.by.GDP_Smooth Savitsky-Golay Smoothed (p=3, n=365) Residental Real Estate Loans (Monthly, SA) divided by GDP
7477 RREACBM027SBOG.by.GDP_Log Log of Residental Real Estate Loans (Monthly, SA) divided by GDP
7482 RREACBW027SBOG.by.GDP_YoY4 Residental Real Estate Loans (Weekly, SA) divided by GDP 4 Year over 4 Year
7484 RREACBW027SBOG.by.GDP_Smooth Savitsky-Golay Smoothed (p=3, n=365) Residental Real Estate Loans (Weekly, SA) divided by GDP
7487 RREACBW027SBOG.by.GDP_Log Log of Residental Real Estate Loans (Weekly, SA) divided by GDP
7490 RREACBW027SBOG.by.GDP_mva050 Residental Real Estate Loans (Weekly, SA) divided by GDP 50 Day MA
7494 RREACBW027NBOG.by.GDP_Smooth Savitsky-Golay Smoothed (p=3, n=365) Residental Real Estate Loans (Weekly, NSA) divided by GDP
7496 RREACBW027NBOG.by.GDP_SmoothDer Derivative of Smoothed Residental Real Estate Loans (Weekly, NSA) divided by GDP
7500 RREACBW027NBOG.by.GDP_mva050 Residental Real Estate Loans (Weekly, NSA) divided by GDP 50 Day MA
7513 DGORDER.by.GDP_YoY5 Durable Goods (Monthly, NSA) divided by GDP 5 Year over 5 Year
7514 DGORDER.by.GDP_Smooth Savitsky-Golay Smoothed (p=3, n=365) Durable Goods (Monthly, NSA) divided by GDP
7516 DGORDER.by.GDP_SmoothDer Derivative of Smoothed Durable Goods (Monthly, NSA) divided by GDP
7517 DGORDER.by.GDP_Log Log of Durable Goods (Monthly, NSA) divided by GDP
7520 DGORDER.by.GDP_mva050 Durable Goods (Monthly, NSA) divided by GDP 50 Day MA
7521 ASHMA.by.GDP_YoY Home Mortgages (Quarterly, NSA) divided by GDP Year over Year
7522 ASHMA.by.GDP_YoY4 Home Mortgages (Quarterly, NSA) divided by GDP 4 Year over 4 Year
7523 ASHMA.by.GDP_YoY5 Home Mortgages (Quarterly, NSA) divided by GDP 5 Year over 5 Year
7526 ASHMA.by.GDP_SmoothDer Derivative of Smoothed Home Mortgages (Quarterly, NSA) divided by GDP
7536 ASHMA.INTEREST_SmoothDer Derivative of Smoothed Home Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens
7546 ASHMA.INTEREST.by.GDP_SmoothDer Derivative of Smoothed Home Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens Divided by GDP
7556 CONSUMERNSA.INTEREST_SmoothDer Derivative of Smoothed Consumer Loans (Not Seasonally Adjusted) Interest Burdens
7566 CONSUMERNSA.INTEREST.by.GDP_SmoothDer Derivative of Smoothed Consumer Loans (Not Seasonally Adjusted) Interest Burden Divided by GDP
7572 TOTLNNSA_YoY4 Total Loans Not Seasonally Adjusted (BUSLOANS+REALLNSA+CONSUMERNSA) 4 Year over 4 Year
7574 TOTLNNSA_Smooth Savitsky-Golay Smoothed (p=3, n=365) Total Loans Not Seasonally Adjusted (BUSLOANS+REALLNSA+CONSUMERNSA)
7576 TOTLNNSA_SmoothDer Derivative of Smoothed Total Loans Not Seasonally Adjusted (BUSLOANS+REALLNSA+CONSUMERNSA)
7577 TOTLNNSA_Log Log of Total Loans Not Seasonally Adjusted (BUSLOANS+REALLNSA+CONSUMERNSA)
7578 TOTLNNSA_mva365 Total Loans Not Seasonally Adjusted (BUSLOANS+REALLNSA+CONSUMERNSA) 365 Day MA
7579 TOTLNNSA_mva200 Total Loans Not Seasonally Adjusted (BUSLOANS+REALLNSA+CONSUMERNSA) 200 Day MA
7580 TOTLNNSA_mva050 Total Loans Not Seasonally Adjusted (BUSLOANS+REALLNSA+CONSUMERNSA) 50 Day MA
7581 TOTLNNSA.by.GDP_YoY Total Loans Not Seasonally Adjusted divided by GDP Year over Year
7582 TOTLNNSA.by.GDP_YoY4 Total Loans Not Seasonally Adjusted divided by GDP 4 Year over 4 Year
7584 TOTLNNSA.by.GDP_Smooth Savitsky-Golay Smoothed (p=3, n=365) Total Loans Not Seasonally Adjusted divided by GDP
7586 TOTLNNSA.by.GDP_SmoothDer Derivative of Smoothed Total Loans Not Seasonally Adjusted divided by GDP
7587 TOTLNNSA.by.GDP_Log Log of Total Loans Not Seasonally Adjusted divided by GDP
7590 TOTLNNSA.by.GDP_mva050 Total Loans Not Seasonally Adjusted divided by GDP 50 Day MA
7621 EXCSRESNW.by.GDP_YoY Excess Reserves of Depository Institutions Divided by GDP Year over Year
7623 EXCSRESNW.by.GDP_YoY5 Excess Reserves of Depository Institutions Divided by GDP 5 Year over 5 Year
7626 EXCSRESNW.by.GDP_SmoothDer Derivative of Smoothed Excess Reserves of Depository Institutions Divided by GDP
7636 WLRRAL.by.GDP_SmoothDer Derivative of Smoothed Liabilities and Capital: Liabilities: Reverse Repurchase Agreements: Wednesday Level (NSA) Divided by GDP
7644 SOFR99.minus.SOFR1_Smooth Savitsky-Golay Smoothed (p=3, n=365) Secured Overnight Financing Rate: 99th Percentile - 1st Percentile
7646 SOFR99.minus.SOFR1_SmoothDer Derivative of Smoothed Secured Overnight Financing Rate: 99th Percentile - 1st Percentile
7653 EXPCH.minus.IMPCH_YoY5 U.S. Exports to China (FAS Basis) - U.S. Imports to China (Customs Basis) 5 Year over 5 Year
7657 EXPCH.minus.IMPCH_Log Log of U.S. Exports to China (FAS Basis) - U.S. Imports to China (Customs Basis)
7664 EXPMX.minus.IMPMX_Smooth Savitsky-Golay Smoothed (p=3, n=365)
7666 EXPMX.minus.IMPMX_SmoothDer Derivative of Smoothed
7667 EXPMX.minus.IMPMX_Log Log of
7670 EXPMX.minus.IMPMX_mva050 50 Day MA
7671 SRPSABSNNCB.by.GDP_YoY Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA) Divided by GDP Year over Year
7676 SRPSABSNNCB.by.GDP_SmoothDer Derivative of Smoothed Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA) Divided by GDP
7677 SRPSABSNNCB.by.GDP_Log Log of Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA) Divided by GDP
7681 ASTLL.by.GDP_YoY All sectors; total loans; liability, Level (NSA) Divided by GDP Year over Year
7682 ASTLL.by.GDP_YoY4 All sectors; total loans; liability, Level (NSA) Divided by GDP 4 Year over 4 Year
7686 ASTLL.by.GDP_SmoothDer Derivative of Smoothed All sectors; total loans; liability, Level (NSA) Divided by GDP
7696 ASFMA.by.GDP_SmoothDer Derivative of Smoothed All sectors; farm mortgages; asset, Level (NSA) Divided by GDP
7707 ASFMA.by.ASTLL_Log Log of All sectors; total loans Divided by farm mortgages
7708 ASFMA.by.ASTLL_mva365 All sectors; total loans Divided by farm mortgages 365 Day MA
7709 ASFMA.by.ASTLL_mva200 All sectors; total loans Divided by farm mortgages 200 Day MA
7710 ASFMA.by.ASTLL_mva050 All sectors; total loans Divided by farm mortgages 50 Day MA
7716 ASFMA.INTEREST_SmoothDer Derivative of Smoothed Farm Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens
7726 ASFMA.INTEREST.by.GDP_SmoothDer Derivative of Smoothed Farm Mortgages (Quarterly, NSA) Interest Burden Divided by GDP
7731 FARMINCOME.by.GDP_YoY Farm Income (Annual, NSA) Divided by GDP Year over Year
7732 FARMINCOME.by.GDP_YoY4 Farm Income (Annual, NSA) Divided by GDP 4 Year over 4 Year
7733 FARMINCOME.by.GDP_YoY5 Farm Income (Annual, NSA) Divided by GDP 5 Year over 5 Year
7736 FARMINCOME.by.GDP_SmoothDer Derivative of Smoothed Farm Income (Annual, NSA) Divided by GDP
7751 WALCL.by.GDP_YoY All Federal Reserve Banks: Total Assets Divided by GDP Year over Year
7756 WALCL.by.GDP_SmoothDer Derivative of Smoothed All Federal Reserve Banks: Total Assets Divided by GDP
7761 ECBASSETS.by.EUNNGDP_YoY Central Bank Assets for Euro Area (11-19 Countries) Divided by GDP Year over Year
7762 ECBASSETS.by.EUNNGDP_YoY4 Central Bank Assets for Euro Area (11-19 Countries) Divided by GDP 4 Year over 4 Year
7766 ECBASSETS.by.EUNNGDP_SmoothDer Derivative of Smoothed Central Bank Assets for Euro Area (11-19 Countries) Divided by GDP
7774 DGS30TO10_Smooth Savitsky-Golay Smoothed (p=3, n=365) Yield Curve, 30 and 10 Year Treasury (DGS30-DGS10)
7777 DGS30TO10_Log Log of Yield Curve, 30 and 10 Year Treasury (DGS30-DGS10)
7778 DGS30TO10_mva365 Yield Curve, 30 and 10 Year Treasury (DGS30-DGS10) 365 Day MA
7779 DGS30TO10_mva200 Yield Curve, 30 and 10 Year Treasury (DGS30-DGS10) 200 Day MA
7780 DGS30TO10_mva050 Yield Curve, 30 and 10 Year Treasury (DGS30-DGS10) 50 Day MA
7784 DGS10TO1_Smooth Savitsky-Golay Smoothed (p=3, n=365) Yield Curve, 10 and 1 Year Treasury (DGS10-DGS1)
7785 DGS10TO1_Smooth.short Savitsky-Golay Smoothed (p=3, n=15) Yield Curve, 10 and 1 Year Treasury (DGS10-DGS1)
7787 DGS10TO1_Log Log of Yield Curve, 10 and 1 Year Treasury (DGS10-DGS1)
7788 DGS10TO1_mva365 Yield Curve, 10 and 1 Year Treasury (DGS10-DGS1) 365 Day MA
7789 DGS10TO1_mva200 Yield Curve, 10 and 1 Year Treasury (DGS10-DGS1) 200 Day MA
7790 DGS10TO1_mva050 Yield Curve, 10 and 1 Year Treasury (DGS10-DGS1) 50 Day MA
7792 DGS10TO2_YoY4 Yield Curve, 10 and 2 Year Treasury (DGS10-DGS2) 4 Year over 4 Year
7794 DGS10TO2_Smooth Savitsky-Golay Smoothed (p=3, n=365) Yield Curve, 10 and 2 Year Treasury (DGS10-DGS2)
7795 DGS10TO2_Smooth.short Savitsky-Golay Smoothed (p=3, n=15) Yield Curve, 10 and 2 Year Treasury (DGS10-DGS2)
7797 DGS10TO2_Log Log of Yield Curve, 10 and 2 Year Treasury (DGS10-DGS2)
7798 DGS10TO2_mva365 Yield Curve, 10 and 2 Year Treasury (DGS10-DGS2) 365 Day MA
7799 DGS10TO2_mva200 Yield Curve, 10 and 2 Year Treasury (DGS10-DGS2) 200 Day MA
7800 DGS10TO2_mva050 Yield Curve, 10 and 2 Year Treasury (DGS10-DGS2) 50 Day MA
7807 DGS10TOTB3MS_Log Log of Yield Curve, 10 and 3 Month Treasury (DGS10-TB3MS)
7817 DGS10TODTB3_Log Log of Yield Curve, 10 and 3 Month Treasury (DGS10-DTB3)
7824 DGS10ByAAA_Smooth Savitsky-Golay Smoothed (p=3, n=365) AAA ratio to 10 year treasury (AAA/DGS10)
7825 DGS10ByAAA_Smooth.short Savitsky-Golay Smoothed (p=3, n=15) AAA ratio to 10 year treasury (AAA/DGS10)
7827 DGS10ByAAA_Log Log of AAA ratio to 10 year treasury (AAA/DGS10)
7829 DGS10ByAAA_mva200 AAA ratio to 10 year treasury (AAA/DGS10) 200 Day MA
7830 DGS10ByAAA_mva050 AAA ratio to 10 year treasury (AAA/DGS10) 50 Day MA
7832 LNU03000000BYPOPTHM_YoY4 Unemployment level (NSA) / Population 4 Year over 4 Year
7834 LNU03000000BYPOPTHM_Smooth Savitsky-Golay Smoothed (p=3, n=365) Unemployment level (NSA) / Population
7836 LNU03000000BYPOPTHM_SmoothDer Derivative of Smoothed Unemployment level (NSA) / Population
7838 LNU03000000BYPOPTHM_mva365 Unemployment level (NSA) / Population 365 Day MA
7839 LNU03000000BYPOPTHM_mva200 Unemployment level (NSA) / Population 200 Day MA
7842 UNEMPLOYBYPOPTHM_YoY4 Unemployment level, seasonally adjusted / Population 4 Year over 4 Year
7844 UNEMPLOYBYPOPTHM_Smooth Savitsky-Golay Smoothed (p=3, n=365) Unemployment level, seasonally adjusted / Population
7846 UNEMPLOYBYPOPTHM_SmoothDer Derivative of Smoothed Unemployment level, seasonally adjusted / Population
7848 UNEMPLOYBYPOPTHM_mva365 Unemployment level, seasonally adjusted / Population 365 Day MA
7849 UNEMPLOYBYPOPTHM_mva200 Unemployment level, seasonally adjusted / Population 200 Day MA
7851 NPPTTLBYPOPTHM_YoY ADP Private Employment / Population Year over Year
7856 NPPTTLBYPOPTHM_SmoothDer Derivative of Smoothed ADP Private Employment / Population
7863 U6toU3_YoY5 U6RATE minums UNRATE 5 Year over 5 Year
7864 U6toU3_Smooth Savitsky-Golay Smoothed (p=3, n=365) U6RATE minums UNRATE
7866 U6toU3_SmoothDer Derivative of Smoothed U6RATE minums UNRATE
7867 U6toU3_Log Log of U6RATE minums UNRATE
7868 U6toU3_mva365 U6RATE minums UNRATE 365 Day MA
7869 U6toU3_mva200 U6RATE minums UNRATE 200 Day MA
7870 U6toU3_mva050 U6RATE minums UNRATE 50 Day MA
7881 CHRISCMEHG1.by.CPIAUCSL_YoY Copper, $/lb, Normalized by consumer price index Year over Year
7886 CHRISCMEHG1.by.CPIAUCSL_SmoothDer Derivative of Smoothed Copper, $/lb, Normalized by consumer price index
7896 DCOILBRENTEU.by.PPIACO_SmoothDer Derivative of Smoothed Crude Oil - Brent, $/bbl, Normalized by producer price index c.o.
7906 DCOILWTICO.by.PPIACO_SmoothDer Derivative of Smoothed Crude Oil - WTI, $/bbl, Normalized by producer price index c.o.
7907 DCOILWTICO.by.PPIACO_Log Log of Crude Oil - WTI, $/bbl, Normalized by producer price index c.o.
7918 LBMAGOLD.USD_PM.by.PPIACO_mva365 Gold, USD PM/Troy Ounce, Normalized by commodities producer price index 365 Day MA
7928 LBMAGOLD.USD_PM.by.CPIAUCSL_mva365 Gold, USD/Troy OUnce, Normalized by consumer price index 365 Day MA
7938 LBMAGOLD.USD_PM.by.GDP_mva365 Gold, USD/Troy OUnce, Normalized by GDP 365 Day MA
7947 GDP.by.GDPDEF_Log Log of Nominal GDP Normalized by GDP def
7948 GDP.by.GDPDEF_mva365 Nominal GDP Normalized by GDP def 365 Day MA
7949 GDP.by.GDPDEF_mva200 Nominal GDP Normalized by GDP def 200 Day MA
7950 GDP.by.GDPDEF_mva050 Nominal GDP Normalized by GDP def 50 Day MA
7956 GSG.Close.by.GDPDEF_SmoothDer Derivative of Smoothed GSCI Commodity-Indexed Trust, Normalized by GDP def
7966 GSG.Close.by.GSPC.Close_SmoothDer Derivative of Smoothed GSCI Commodity-Indexed Trust, Normalized by S&P 500
7978 GDPBYPOPTHM_mva365 GDP/Population 365 Day MA
7979 GDPBYPOPTHM_mva200 GDP/Population 200 Day MA
7988 GDPBYCPIAUCSL_mva365 GDP divided by CPI 365 Day MA
7989 GDPBYCPIAUCSL_mva200 GDP divided by CPI 200 Day MA
7998 GDPBYCPIAUCSLBYPOPTHM_mva365 GDP divided by CPI/Population 365 Day MA
8004 GSPC.CloseBYMDY.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365) GSPC by MDY
8006 GSPC.CloseBYMDY.Close_SmoothDer Derivative of Smoothed GSPC by MDY
8008 GSPC.CloseBYMDY.Close_mva365 GSPC by MDY 365 Day MA
8009 GSPC.CloseBYMDY.Close_mva200 GSPC by MDY 200 Day MA
8014 QQQ.CloseBYMDY.Close_Smooth Savitsky-Golay Smoothed (p=3, n=365) QQQ by MDY
8016 QQQ.CloseBYMDY.Close_SmoothDer Derivative of Smoothed QQQ by MDY
8018 QQQ.CloseBYMDY.Close_mva365 QQQ by MDY 365 Day MA
8024 GSPC.DailySwing_Smooth Savitsky-Golay Smoothed (p=3, n=365) S&P 500 (^GSPC) Daily Swing: (High - Low) / Open
8026 GSPC.DailySwing_SmoothDer Derivative of Smoothed S&P 500 (^GSPC) Daily Swing: (High - Low) / Open
8027 GSPC.DailySwing_Log Log of S&P 500 (^GSPC) Daily Swing: (High - Low) / Open
8028 GSPC.DailySwing_mva365 S&P 500 (^GSPC) Daily Swing: (High - Low) / Open 365 Day MA
8029 GSPC.DailySwing_mva200 S&P 500 (^GSPC) Daily Swing: (High - Low) / Open 200 Day MA
8038 GSPC.Open.by.GDPDEF_mva365 S&P 500 (^GSPC) Open divided by GDP deflator 365 Day MA
8039 GSPC.Open.by.GDPDEF_mva200 S&P 500 (^GSPC) Open divided by GDP deflator 200 Day MA
8048 GSPC.Close.by.GDPDEF_mva365 S&P 500 (^GSPC) Close divided by GDP deflator 365 Day MA
8049 GSPC.Close.by.GDPDEF_mva200 S&P 500 (^GSPC) Close divided by GDP deflator 200 Day MA
8054 HNFSUSNSA.minus.HSN1FNSA_Smooth Savitsky-Golay Smoothed (p=3, n=365) Houses for sale - houses sold
8056 HNFSUSNSA.minus.HSN1FNSA_SmoothDer Derivative of Smoothed Houses for sale - houses sold
8058 HNFSUSNSA.minus.HSN1FNSA_mva365 Houses for sale - houses sold 365 Day MA
8059 HNFSUSNSA.minus.HSN1FNSA_mva200 Houses for sale - houses sold 200 Day MA
8084 MSPUS.times.HNFSUSNSA_Smooth Savitsky-Golay Smoothed (p=3, n=365) New privately owned 1-family units for sale times median price
8086 MSPUS.times.HNFSUSNSA_SmoothDer Derivative of Smoothed New privately owned 1-family units for sale times median price
8088 MSPUS.times.HNFSUSNSA_mva365 New privately owned 1-family units for sale times median price 365 Day MA
8118 GSPC.Open_mva050_mva200_sig Sell Signal S&P 500 50 SMA - 200 SMA
8119 MULTPLSP500PERATIOMONTH_Mean S&P 500 TTM P/E Average (Excludes Values Greater Than 50)

Equities

Equity indexes normalized by GDP

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The last two years compare favorably with the period around the late 1950’s. Need to dig into this one.

datay <- "GSPC.Close"
ylim <- c(2000, d.GSPC.max)
my.data <- plotSimilarPeriods(df.data, dfRecession, df.symbols, datay, ylim, i.window = 60)
my.data[[1]]

Look at how the different segments of the market move

datay <- "GSPC.CloseBYMDY.Close_YoY"
ylim <- c(-50, 75)
dtStart = as.Date('1980-01-01')
plotSingle(dfRecession, df.data, "date", datay, getPlotTitle(df.symbols, datay), "Date", 
            getPlotYLabel(df.symbols, datay), c(dtStart, Sys.Date()), ylim, TRUE)

datay <- "GSPC.CloseBYMDY.Close"
ylim <- c(0, 20)
dtStart = as.Date('1980-01-01')
plotSingle(dfRecession, df.data, "date", datay, getPlotTitle(df.symbols, datay), "Date", 
            getPlotYLabel(df.symbols, datay), c(dtStart, Sys.Date()), ylim, TRUE)

S&P 500 Normalized moving average

Look at moving average relationship by dividing the S&P 500 open price by the 200 day SMA.

datay <- "GSPC.Open_mva200_Norm"
ylim <- c(50, 125)
dt.start = as.Date('2008-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dt.start)

Crossovers

Look at the 50 DMA versus 200 DMA, often used as a technical indicator of market direction.

datay <- "GSPC.Open_mva050_mva200"
ylim <- c(-300, 300)
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStartBackTest)

datay <- "GSPC.Open_mva050_mva200_sig "
ylim <- c(0.0, 1.0)
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStartBackTest)

S&P 500 TTM P/E

Take a look at some of the earnings trends from SilverBlatt’s sheet.

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Take a longer look back at as-reported and operating earnings

Market prices can out-run earnings so take a look at price to earnings.

Focus on some of the more recent activity

S&P 500 Sales

datay <- "MULTPLSP500SALESQUARTER"
ylim <- c(500, 2000)
dt.start <- as.Date('1999-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dt.start)

datay <- "MULTPLSP500SALESQUARTER"
ylim <- c(500, 2000)
dt.start = as.Date('2001-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dt.start)

Unit Profits

The series peaks in the middle of a bull market.

S&P 500 dividends

12-month real dividend per share inflation adjusted November, 2018 dollars. Data courtesy Standard & Poor’s and Robert Shiller.

https://www.quandl.com/data/MULTPL/SP500_DIV_MONTH-S-P-500-Dividend-by-Month

Evaluate year over year dividend growth.

Real value dividend growth.

datay <- "MULTPLSP500DIVMONTH_YoY"
ylim <- c(-40, 20)
dtStart = as.Date('2001-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart, b.percentile = FALSE)

S&P 500 dividend yield (12 month dividend per share)/price. Yields following September 2018 (including the current yield) are estimated based on 12 month dividends through September 2018, as reported by S&P. Sources: Standard & Poor’s for current S&P 500 Dividend Yield. Robert Shiller and his book Irrational Exuberance for historic S&P 500 Dividend Yields.

https://www.quandl.com/data/MULTPL/SP500_DIV_YIELD_MONTH-S-P-500-Dividend-Yield-by-Month

datay <- "MULTPLSP500DIVYIELDMONTH"
ylim <- c(0, 12)
dtStart = as.Date('1950-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart, b.percentile = FALSE)

datay <- "MULTPLSP500DIVYIELDMONTH"
ylim <- c(1, 4)
dtStart = as.Date('2001-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart, b.percentile = FALSE)

S&P 500 Volume

The log of the S&P volume has some interesting patterns, but nothing that seems to help with a recession indicator.

That is one spiky data series. Not sure there is a lot to help us here.

Russell 2000

Take a look at recent activity in the small cap market.

S&P 500 to Rusell 2000

Thirty day movement

Correlation

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S&P 500 to MDY (Mid-cap) 2000 Correlation

datay1 <- "RLG.Open"
ylim1 <- c(0, 2500)

datay2 <- "MDY.Open"
ylim2 <- c(0, 500)

dtStart <- as.Date("1jan2003","%d%b%Y")

w <- 30
corrName <-
  calcRollingCorr(dfRecession,
                  df.data,
                  df.symbols,
                  datay1,
                  ylim1,
                  datay2,
                  ylim2,
                  w,
                  dtStart)
## Warning in max.default(structure(numeric(0), class = "Date"),
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Dividend Stocks

This is an interesting series, they should perform better through the recessions. Unfortunately they are short lived so there is not much data so this is more of a place holder for now.

datay <- "NOBL.Open"
ylim <- c(40, 110)
dt.start <- as.Date('2014-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dt.start)

Margin and option data

NYSE Margin Debt

Taking a look at margin debt. NYXDATA stopped providing NYSE margin debt data on Dec 2017. Data is available from FINRA, but it includes more accounts than the data did for NYXdata. I stitched togeter the data sets: data after Jan 2010 include NYSE+Others, data prior is just NYSE account data scaled up to match the FINRA data.

It tends to creep up when there is a frenzy in the stock market.

datay <- "FINRAMarginDebt_Log"
ylim <- c(5, 15)
plotSingleQuick(dfRecession, df.data, datay, ylim)

Take a close look at recent activity

Sometimes it is more helpful to view year over year growth.

More near-term trend.

Take a look at some of the correlations

datay1 <- "FINRAMarginDebt_YoY"
ylim1 <- c(-100, 100)

datay2 <- "GSPC.Close_YoY"
ylim2 <- c(-100, 100)

dtStart <- as.Date("1jan1995","%d%b%Y")

w <- 90
corrName <-
  calcRollingCorr(dfRecession,
                  df.data,
                  df.symbols,
                  datay1,
                  ylim1,
                  datay2,
                  ylim2,
                  w,
                  dtStart)

Comparison to the Russell 2000

datay1 <- "FINRAMarginDebt_YoY"
ylim1 <- c(-100, 100)

datay2 <- "RLG.Close_YoY"
ylim2 <- c(-100, 100)

dtStart <- as.Date("1jan1995","%d%b%Y")

w <- 90
corrName <-
  calcRollingCorr(dfRecession,
                  df.data,
                  df.symbols,
                  datay1,
                  ylim1,
                  datay2,
                  ylim2,
                  w,
                  dtStart)

OCC Options Volumes

See what is happening with the options volumes for equities. (From: https://www.theocc.com/webapps/historical-volume-query)

Looks like options on non-equity co-occurs with peaks/troughs?.

Market Volatility

Take a look at some of the indications of market volatility

CBOE VIX

As markets become complacent (low VIX) and high values, peaks often occur.

Compare the VIX to some of the ETF’s out there.

There

Not much predictive in VIX, take a quick look at the smoothed derivative.

S&P Daily Swings

Daily changes in the S&P should correlate well with the VIX.

More of a correlating series than a predictor.

Employment and payrolls

Unemployment rates

Unemployment rates will probably be useful, let’s take a look at the U-3. The data is a little noisy so there is also a smoothed version plotted. There seems to be a relationship between the unemployment rate and the recessions, but it could be a lagging indicator. This will be explored a little bit more later.

Suggested by Charlie and a Wealthian video the 12 month-MA might be helpful to look at.

Looking at the unemployment rate, the eye is drawn to the rise and fall of the data, this suggests that the derivative might be helpful as well. The figure below shows the results, using a Savitzky-Golay FIR filter. It looks like the unemployment rate peaks in the middel of the recession. That peak might be a good buy signal.

Continuing Claims

A good measure of how much unemployment is growing.

Continued claims, also referred to as insured unemployment, is the number of people who have already filed an initial claim and who have experienced a week of unemployment and then filed a continued claim to claim benefits for that week of unemployment. Continued claims data are based on the week of unemployment, not the week when the initial claim was filed

https://fred.stlouisfed.org/series/CCNSA

A good measure of how much unemployment is growing

Initial Claims

A good measure of how much unemployment is growing.

An initial claim is a claim filed by an unemployed individual after a separation from an employer. The claim requests a determination of basic eligibility for the Unemployment Insurance program.

https://fred.stlouisfed.org/series/ICSA

Unemployment rates, year-over-year

Both the headline unemployment and U-6 number changes are similar. During the upswing on the cycle it does look like the headline number falls faster than U-6

The second derivative of the unemployment rate does have zero crossings near the middle point of a recession. This would make it a helpful buy signal for the trading strategy.

Unemployment rates, similar periods

Historically the last two years of record low unemployment appear most similar to the 1971-1973 time frame. Just before inflation took off.

Unemployment rates, U-6 and headline number.

Let’s also take a look at the total unemployed, U-6. It continues to fall as the headline number stabilizes as people return to the work force. An indicator the cycle is beginning to top out.

Difference between U6 and U3 to see how close the economy is getting to full employment.

Unemployment and market bottoms

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Initial jobless claims

We will also take a look at initial jobless claims, this should start to rise just before the unemployment rate.

It looks like the jobless claim tend to peak more towards the end of the recession. It does not seem to be as strong of a sell indicator as the U-3 rate.

Jobless claims have a seasonal component to them. One way to reduce this effect is to calculate year over year growth. That helps some, the peaks seem to be more closely aligned with the middle to end of recessions.

Take a closer look at recent data

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Take a look at the percentage of the population looking for work

A bit more recent trend

Unemployment Level

ADP data here. comes out before the official numbers.

Look at the year-over-year change in ADP.

ADP data divided by the population

Payrolls

Look at the BLS data on payrolls. Check the NSA series, then we will look at YoY data.

Hours worked

Sparked by an article at Mises (https://mises.org/wire/how-alexandria-ocasio-cortez-misunderstands-american-poverty), take a look at average weekly hours

The time series is pretty lumpy, plot the YoY change

A more recent look at average weekly hours of production

Industrial Production

Industrial production is also known to fall during an economic downturm, let’s take a look at some of the data from the FRED on industrial production. It does seem to peak prior to a recession so let’s smooth and look at the derivative as it might be a good indicator as well.

Industrial production over the last ten years or so

The derivative isn’t bad, but it sometimes crosses zeros well into a recession. That is less helpful as either a buy or sell indicator. A better measure might year over year (YoY) change.

The year over year change has a similar appearance. The low values at the beginning make the year over year values larger than the more recent values. Seems like it will rank low a reliable indicator.

datay1 <- "INDPRO_YoY"
ylim1 <- c(-20, 12)

datay2 <- "GSPC.Close_YoY"
ylim2 <- c(-100, 50)

dtStart <- as.Date("1jan1981","%d%b%Y")

w <- 360
corrName <- calcRollingCorr(dfRecession, df.data, df.symbols, datay1, ylim1, datay2, ylim2, w, dtStart)

Retail Sales

Retail sales, aggregate

Retail sales also change during recession. As the plot below shows, it seems to follow the trend of industrial production. It might be too strongly correlated to add much to the model. The will be examined in the correlation section.

The derivative of retail sales is a little more erratic than is was the industrial products. Looks like it might be helpful to include in the model as well.

Retail sales, aggregate year-over-year

Take a look at year-over-year changes

Retail sales and unemployment correlations

Let’s see how that looks on year over year basis. Interesting to compare to unemployment rates there appears to a correlation over the long term.

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There is some similarity. The rolling correlation shows the inverse relationship prior to a recession.

datay1 <- "RSALESAGG_YoY"
ylim1 <- c(-12.5, 12.5)

datay2 <- "UNEMPLOY_YoY"
ylim2 <- c(-30, 150)

dtStart <- as.Date("1jan1970","%d%b%Y")

w <- 180
corrName <- calcRollingCorr(dfRecession,df.data, df.symbols, datay1, ylim1, datay2, ylim2, w, dtStart)

Retail sales correlation and industrial production

Industrial production and retail sales look very similar so the plot below shows the 360 correlation. The corerlation does tend to fall around a recession, although 2008 was so bad that they both fell together. Not sure if it is that useful.

datay1 <- "INDPRO"
ylim1 <- c(40, 125)

datay2 <- "RSALESAGG"
ylim2 <- c(100000, 200000)

dtStart <- as.Date("1jan1981","%d%b%Y")

w <- 60
corrName <- calcRollingCorr(dfRecession, df.data, df.symbols, datay1, ylim1, datay2, ylim2, w, dtStart)

It is interesting to see the strong correlation; however, I suspect this is due to more to the shape of the trends. How do the YoY correlations look? They are a little less correlated, probably better to use in the machine learning later.

datay1 <- "INDPRO_YoY"
ylim1 <- c(-20, 20)

datay2 <- "RSALESAGG_YoY"
ylim2 <- c(-20, 20)

dtStart <- as.Date("1jan1981","%d%b%Y")

w <- 30
corrName <- calcRollingCorr(dfRecession, df.data, df.symbols, datay1, ylim1, datay2, ylim2, w, dtStart)

Advance Retail Sales

This is an advanced estimate of the retail sales value.

Also take a look at year over year

Retail sales and the labor market

Income

Real Personal Income

Real Personal Income (Excluding Transfer, Annual)

During a recession real personal income falls. In the plot the peaks can be seen prior to each recession.

datay <- "W875RX1"
ylim <- c(3000, 15000)
plotSingleQuickModern(datay, ylim)

The features we are interested in are the peaks and valleys so we’ll use the derivative to get to those. Interesting, there is usually a first zero crossing before a recession and a second during or just after the recession.

Real personal income might have some seasonal variance, but it seems the year over year change tells the same story.

Price and cost measures

This section shows price and cost measures.

Two commonly used indexes are the CPI (consumer price index) and PPI (producer price index). CPI tries to show final prices paid for goods and services by urban U.S. consumers. This index includes sales tax and imports. The PPI attempts to reflect the prices paid at all stages of production, including goods and services purchases as inputs as well as goods and services purchased by consumers from retail and producer sellers. The PPI does not include imports or sales tax. The CPI reflects all rebates and financing plans wherease the PPI reflects only those rebate and financing plans provided by the producer. For example if an automotive manufacturer offers a rebate of $500 and the dealer offers an additional rebate of $500 then the PPI would reflect only the automotive manufacturer rebate, but the CPI would reflect both rebates.

Sources; https://www.bls.gov/opub/hom/pdf/cpihom.pdf and https://www.bls.gov/opub/hom/pdf/ppi-20111028.pdf.

Consumer price index

What does CPI look like?

datay <- "CPIAUCSL"
ylim <- c(0, 300)
plotSingleQuickModern(datay, ylim)

Check out the YoY growth

datay <- "CPIAUCSL_YoY"
ylim <- c(-2, 15)
plotSingleQuickModern(datay, ylim)

CPI to PPI

Suggested by Charlie, it can be helpful to look at the relationship between producer prices and consumer prices.

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Producer Price Index (Commodities)

Commodities

Basket

Take a look at some trends of baskets of commodities.

This plot examines commodity performance relative to the GDP deflator

Crude oil

Look at a trend of West Texas Intermediate (WTI)

This is ticker data from yahoo

Take a look at both WTI and Brent crude.

Real price of crude using producer price index for commodities

Gold

As risks increase investors often flock to safe haven assets like gold. An up-tick in prices can indicate investor uncertainty. This can be seen in the nominal price plot around 1980 and again in 2007.

This plots out the real price of gold by two different deflators. PPI corrected price is a little higher, to be expected since CPI also includes the effects of sales tax and imports. The spike in 1980 is especially pronounced in this series.

See how nominal and real prices look year over year. From the long-term view seems like there is little difference in the three series. Although not shown, even over the near-term there is little difference in the series.

See how gold correlates with the VIX. Both gold and VIX should respond to investor axiety, but it doesn’t look like it correlates very well.

## `geom_smooth()` using formula 'y ~ x'
## Warning: Removed 242 rows containing non-finite values (stat_smooth).

Copper

Dr. Copper has a reputation as an indicator of economic malaise, but it does not seem to have much of a correlation with the recessions. The series below is from CME via Quandl. It has a lot of data so I am also looking at the smoothed version.

Copper is one of the commodities in the PPI so it is a bit of a proxy for how copper is doing relative to the basket of commodities.

The change in prices, year over year, do generally peak prior to a recession. The time and shape of this peak varies, but it still might be helpful. A couple of the large troughs do seem to correlate with the end of the recession. Likely this is because industrial production has also fallen.

There is some correlation between copper and the smooth recession initiator, especially at the end of the recession.

Might be easier to see correlation in a dot plot format.

## `geom_smooth()` using formula 'y ~ x'
## Warning: Removed 342 rows containing non-finite values (stat_smooth).

This is a legacy series from FRED. It has not been updated in a couple of years so I am assuming it will go away.

Oil Services

Amazing events in the first half of 2020, take a look at those

See how the players are doing

Federal Reserve

The federal reserve has an impact on the economy, here are some data series relating to that.

Little bit closer

datay <- "WALCL"
ylim <- c(0, 10000)
dtStart = as.Date('2003-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

Federal Reserve Reverse Repo Agreements

Compare liabilities to reverse repo trends

Take a look at more recent trends

Spiky, might be easier to look at year-over-year

Normalized by GDP

datay <- "WLRRAL.by.GDP"
ylim <- c(0, 4)
dtStart = as.Date('2003-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

Overnight Bank Funding Rate

“The overnight bank funding rate is calculated using federal funds transactions and certain Eurodollar transactions. The federal funds market consists of domestic unsecured borrowings in U.S. dollars by depository institutions from other depository institutions and certain other entities, primarily government-sponsored enterprises, while the Eurodollar market consists of unsecured U.S. dollar deposits held at banks or bank branches outside of the United States. U.S.-based banks can also take Eurodollar deposits domestically through international banking facilities (IBFs). The overnight bank funding rate (OBFR) is calculated as a volume-weighted median of overnight federal funds transactions and Eurodollar transactions reported in the FR 2420 Report of Selected Money Market Rates. Volume-weighted median is the rate associated with transactions at the 50th percentile of transaction volume. Specifically, the volume-weighted median rate is calculated by ordering the transactions from lowest to highest rate, taking the cumulative sum of volumes of these transactions, and identifying the rate associated with the trades at the 50th percentile of dollar volume. The published rates are the volume-weighted median transacted rate, rounded to the nearest basis point.” https://www.newyorkfed.org/markets/obfrinfo.

Secured Overnight Financing Rate

“The Secured Overnight Financing Rate (SOFR) is a broad measure of the cost of borrowing cash overnight collateralized by Treasury securities. The SOFR includes all trades in the Broad General Collateral Rate plus bilateral Treasury repurchase agreement (repo) transactions cleared through the Delivery-versus-Payment (DVP) service offered by the Fixed Income Clearing Corporation (FICC), which is filtered to remove a portion of transactions considered “specials” " https://apps.newyorkfed.org/markets/autorates/sofr

Take a look at the variation (99th - 1st percentile)

Reserve Balances with Federal Reserve Banks

Hard to get a sense of these series in the absolute. Take a look relative to GDP.

By double entry book-keeping reserves+loans (assets) = deposit (liabilities). Does that really work?

Correlation Between Reserves and Total Loans

As reserves increase there should be less lending. That correlation generally holds.

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Did the reserve balances increase after the 2016 and 2018 drops? Not in the same way. There are some relationships between the equities market and the reserves though.

Explicitly correlate reserve balances and total loans. It is a weak and noisy correlation.

## `geom_smooth()` using formula 'y ~ x'
## Warning: Removed 990 rows containing non-finite values (stat_smooth).

Interest on excess reserves

Monetary Base

Currency trend, base

This used to trend along with GDP. It doesn’t anymore.

Money supplies

Basic currency trend (currency component of M1)

datay <- "WCURRNS_YoY"
dtStart = as.Date('1980-01-01')
ylim <- c(0, 17)
myplot <- plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)
myplot

datay <- "WCURRNS_YoY"
dtStart = as.Date('2000-01-01')
ylim <- c(0, 20)
myplot <- plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)
myplot

The rate of change of money supply could be an indicator of a recession. Let’s see how that compares.

Intervention in the repo market

The federal reserve provides liquidity to the repo market, summary of that action

European central bank

The European central band (ECB) has taken a different path compared to the US Federal Reserve bank.

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Federal Debt

The government is a big driver of the economy, let’s see what it is doing in the debt markets.

datay <- "GFDEBTN"
ylim <- c(0, 35000000)
plotSingleQuick(dfRecession, df.data, datay, ylim)

datay <- "GFDEBTN_Log"
ylim <- c(12, 18)
plotSingleQuick(dfRecession, df.data, datay, ylim)

datay <- "GFDEBTN_YoY"
ylim <- c(-10, 25)
plotSingleQuick(dfRecession, df.data, datay, ylim)

Federal debt as percent GDP

datay <- "GFDEGDQ188S"
ylim <- c(30, 150)
plotSingleQuick(dfRecession, df.data, datay, ylim)

Federal deficit as percent GDP

datay <- "FYFSGDA188S"
ylim <- c(-30, 5)
plotSingleQuick(dfRecession, df.data, datay, ylim)

Charlie Hatch has a nice format of deficit versus debt:

## Scale for 'y' is already present. Adding another scale for 'y', which will
## replace the existing scale.

Nonfinancial Corporate Business Debt

What about Nonfinancial corporate business and debt securities? Hopefully this doesn’t follow the business loan trends.

That is crazy steep. Time for a log format, see if that brings out the peaks and troughs. That’s a litte better, it looks like there might be a change in slope prior to the recessions.

The derivative doesn’t seem to be much help. There is not much correlation between the zero crossings and the NEBR recessions.

Debt cycle

This analysis roughly follows the ideas in Big Debt Crises book by Ray Dalio.

Total loans

One business cycle theory describes recessions as a market adjustment to mis-allocated assets, often fueled by an credit expansion. That makes the volume of loans an interesting feature to look at. In the presentation of data it looks like the great recession had the largest impact.

Plotting the year over year growth rate helps pull out those small changes in the early years in the data. Peaks can be seen prior to most recessions.

Zoom in to the last couple of decades

As long term interest rates rise, loans should start to tick down. To check this, the total loans and 10 to 1 year spreads are plotted. This is generally the trend observed.

There is a good correlation between these two variables. This next section plots that correction explicitly.

Total loans as percent of GDP

This is the total loans. I think the picture is too broad to point to a specific sector of the economy. The debt burden assumes interest rates are tied to the 10-year treasury: (TOTLNNSA * DGS10) / 100

Commercial and industral loans

Business loans should slow before the recession (a contraction in credit as rates rise).

Commercial and industrial loans as percent of GDP and and income

Look at business debt normalized by GDP over the entire time series. This ratio often peaks at the mid-point of a recession.

https://www.wsj.com/articles/this-isnt-your-fathers-corporate-bond-market-11590574555

“Bonds are behaving more like bank debt, which tends to remain stable or even increase at the onset of recessions, as lenders keep distressed clients afloat—and only later turn off the taps. This was confirmed by a recent report from the Bank for International Settlements. It also found a tight link between this lending cycle and the “real” economy’s booms and busts."

I assume that interest is related to the 10-year treasure: (TOTCINSA * DGS10) / 100

Farm loans

See how the farming sector is fairing.

Real estate loans

Data taken from H.8 Assets and Liabilities of Commercial Banks in the United States. Take a look at SA and NSA data series as weekly and month updates. It should all be similar at this scale.

This gives a big picture, but makes it hard to connect the loans with the income needed to cover those loans. In the next section, loans will be broken up by commercial and residential.

Real Estate (Residential)

In absolute terms the mortgages have increased, but it does not appear to be out of line with the overall economy.

Normalized by GDP it is easier to see the peak in 2008 and that loan levels appear reasonable at the commercial banks. I updated this plot to include the estimated single-family home sales volume to give a sense of percentage of home sales that are cash.

Maybe the GSE’s are making loans. Take a look at the total mortgages from Z.1 as a percentage of GDP. That does not look too far off trend (ignoring that peak in 2008).

I am assuming that personal income is paying for the mortgages.

Real estate (residential) as percent of GDP and and income

## Warning: Removed 1 rows containing missing values (geom_text).

How do the number of starts compare to population?

Consumer loans

Focusing on the consumer sector the growth in debt and incomes can be directly compared. Personal income, as a percent of GDP, remains nearly constant. It is not uncommon for the personal income to rise prior to a recession. Likely this reflect increasing asset prices and market returns. Also interesting to see the loans pick up after interest rates dropped in 1982.

Consumer loans as percent of GDP and and income

Take a closer look since the 2008 recession. Looks like loans are starting to slow as the interest burden rises and incomes remain stable. There are some anomolies in the A065RC1A027NBEA data series because it only updates onces a year. the PI series updates once a month but is noisier and seasonally adjusted. It also shows incomes rising in the middle of the 2008 recession, which doesn’t seem to be accurate.

## Warning: Removed 1 rows containing missing values (geom_text).
## Removed 1 rows containing missing values (geom_text).
## Warning: Removed 1 rows containing missing values (geom_hline).

Repo market

This market went through some stress in 2008, it is happening again so setup some plots to watch it.

Nonfincial corporate business security repo asset level

Bonds

T-Bills and Yield Curve

Speaking of loans, interest rates also play into this. This analysis will focus on treasure bills. The 3-month is plotted below. The yield flattens before a recession as investors go long on bonds and short on equities.

datay <- "TB3MS"
datay.aux <- "DTB3"
ylim <- c(0, 20)
p1 <- plotSingleQuickModern(datay, ylim)
p1 + geom_line(data=df.data, aes_string(x="date", y=datay.aux, colour=shQuote(datay.aux)), na.rm = TRUE)

datay <- "TB3MS"
datay.aux <- "DTB3"
ylim <- c(0, 6.0)
dtStart = as.Date('2017-01-01')
p1 <- plotSingle(dfRecession, df.data, "date", datay, getPlotTitle(df.symbols, datay), "Date", 
            getPlotYLabel(df.symbols, datay), c(dtStart, Sys.Date()), ylim, TRUE)
p1 + geom_line(data=df.data, aes_string(x="date", y=datay.aux, colour=shQuote(datay.aux)), na.rm = TRUE)

# {r bond3monthlibor, echo=FALSE } # # datay <- "TB3MS" # datay_aux <- "USD1MTD156N" # ylim <- c(0, 12) # dtStart = as.Date('1985-01-01') # myPlot <- plotSingle(dfRecession, df.data, "date", datay, getPlotTitle(df.symbols, datay), "Date", # getPlotYLabel(df.symbols, datay), c(dtStart, Sys.Date()), ylim, TRUE) # myPlot <- myPlot + geom_line(data=df.data, aes_string(x="date", y=datay_aux, colour=shQuote(datay_aux)), na.rm = TRUE) # # myPlot # # Check out LIBOR and fed funds rate

The 1-year is plotted below. The yield flattens before a recession as investors go long on bonds and short on equities.

datay <- "DGS10"
datay.aux <- "TNX.Close"
ylim <- c(0, 20)
p1 <- plotSingleQuickModern(datay, ylim)
p1 + geom_line(data=df.data, aes_string(x="date", y=datay.aux, colour=shQuote(datay.aux)), na.rm = TRUE)

Close in, the trend towards inversion be more easily seen. I am also comparing data from the CBOE as well as FRED.

Bond yields are a good proxy for interest rates. As rates rise the theory goes that loans should decrease (inverse correlation).

And a longer window

The yield curve (30 year bond rate minus the 10 year bond rate) may not be a good recession indicator, but a collapse is not good (https://blogs.wsj.com/moneybeat/2018/04/30/theres-more-than-one-part-of-the-yield-curve-getting-flatter/).

The yield curve (10 year bond rate minus the 1 year bond rate) seems to a good indicator of an oncoming recession. It could be a buy indicator by itself.

More recent data

Just the last 24 months or so.

Plot the 10 Year to 3 month over a few decades to see what the outling cases look like

The last two year compare favorably with the period around the 2015-2016 turndown, driven primarily by slowing of the Chinese GDP. Not a debt-driven cycle.

This plot format was suggested by a mises.org article (https://mises.org/wire/yield-curve-accordion-theory), but they only went back to 1988. The date seemed arbitrary so I went back further in time.

Take a look at more recent data

Try looking at a 1-year average of the above time series

High quality bonds

datay <- "AAA"
ylim <- c(1.5, 10)
dtStart = as.Date('1997-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

High quality bonds to 10-year treasury

High quality bonds long-term trend.

datay <- "DGS10ByAAA"
ylim <- c(1, 6.0)
dtStart = as.Date('1967-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

High quality bonds near-term trend.

datay <- "DGS10ByAAA"
ylim <- c(1, 6.0)
dtStart = as.Date('2007-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

High yield spread

“This data represents the Option-Adjusted Spread (OAS) of the ICE BofAML US Corporate A Index, a subset of the ICE BofAML US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating A. The ICE BofAML OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond‚Äôs OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.”

  • ICE Benchmark Administration Limited (IBA), ICE BofAML US Corporate A Option-Adjusted Spread [BAMLC0A3CA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/BAMLC0A3CA, July 4, 2019.
datay <- "BAMLC0A3CA"
ylim <- c(0, 7)
dtStart = as.Date('1997-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

Municipal bond market

Suggest by a WSJ article, change in volume for high-risk muni’s. Doesn’t look like there is much too it yet.

https://www.wsj.com/articles/risky-municipal-bonds-are-on-a-hot-streak-11558949401?mod=hp_lead_pos3

datay <- "HYMB.Close"
ylim <- c(40, 62)
dtStart = as.Date('2011-01-01')
p1 <- plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

p1 <-
  p1 + geom_vline(
    xintercept = as.Date("2015-08-24"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )

p1 <-
  p1 + geom_vline(
    xintercept = as.Date("2016-01-08"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )
p1 <-
  p1 + geom_vline(
    xintercept = as.Date("2018-02-05"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )
p1 <-
  p1 + geom_vline(
    xintercept = as.Date("2018-10-11"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )

datay <- "HYMB.Volume"
ylim <- c(0, 1750000)
p1.vol <- plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

p1.vol <-
  p1.vol + geom_vline(
    xintercept = as.Date("2015-08-24"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )

p1.vol <-
  p1.vol + geom_vline(
    xintercept = as.Date("2016-01-08"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )
p1.vol <-
  p1.vol + geom_vline(
    xintercept = as.Date("2018-02-05"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )
p1.vol <-
  p1.vol + geom_vline(
    xintercept = as.Date("2018-10-11"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )


datay <- "GSPC.Open"
datay_aux <- "GSPC.Close"
ylim <- c(1500, d.GSPC.max )
p2 <-
  plotSingle(
    dfRecession,
    df.data,
    "date",
    datay,
    getPlotTitle(df.symbols, datay),
    "Date",
    getPlotYLabel(df.symbols, datay),
    c(dtStart, Sys.Date()),
    ylim,
    TRUE
  )

p2 <-
  p2 + geom_vline(
    xintercept = as.Date("2015-08-24"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )
p2 <-
  p2 + geom_vline(
    xintercept = as.Date("2016-01-08"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )
p2 <-
  p2 + geom_vline(
    xintercept = as.Date("2018-02-05"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )
p2 <-
  p2 + geom_vline(
    xintercept = as.Date("2018-10-11"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )


grid.arrange(p1,
             p1.vol,
             p2,
             ncol = 1,
             top = "High Yield Muni's and S&P Price")

Total Loans and yield curve correlation

This relationship was suggest by Charlie and it is an interesting one. As the yield curve flattens (10-year and 1-year rates converge), total loans grow. The generalization is not always accurate, but it does fit.

## `geom_smooth()` using formula 'y ~ x'

I wanted to see how this looked compared to the 3 month

## `geom_smooth()` using formula 'y ~ x'
## Warning: Removed 282 rows containing non-finite values (stat_smooth).

Consumer loans and yield curve correlation

Compared to business loans, consumer loans seem to have to response to the 10Y to 3M yield curve.

## `geom_smooth()` using formula 'y ~ x'
## Warning: Removed 311 rows containing non-finite values (stat_smooth).

Business loans and yield curve correlation

## `geom_smooth()` using formula 'y ~ x'
## Warning: Removed 103 rows containing non-finite values (stat_smooth).

That’s pretty good correlation. Let’s see what the rolling correlation looks like.

datay1 <- "TOTLNNSA_YoY"
ylim1 <- c(-10, 20)

datay2 <- "DGS10TO1"
ylim2 <- c(-5, 10)

dtStart <- as.Date("1jan1960","%d%b%Y")

w <- 360
corrName <- calcRollingCorr(dfRecession, df.data, df.symbols, datay1, ylim1, datay2, ylim2, w, dtStart)

datay1 <- "TOTLNNSA_YoY"
ylim1 <- c(-10, 20)

datay2 <- "DGS10TO1"
ylim2 <- c(-5, 10)

dtStart <- as.Date("1jan1960","%d%b%Y")

w <- 720
corrName <- calcRollingCorr(dfRecession, df.data, df.symbols, datay1, ylim1, datay2, ylim2, w, dtStart)

One other items, let’s see how loans do versus the federal funds rate

## `geom_smooth()` using formula 'y ~ x'

Baker Hughes Rig Count

BEA Supplemental Estimates, Motor Vehicles

Definitions

Autos–all passenger cars, including station wagons.
Light trucks–trucks up to 14,000 pounds gross vehicle weight, including minivans and
sport utility vehicles. Prior to the 2003 Benchmark Revision light trucks were up to 10,000 pounds.
Heavy trucks–trucks more than 14,000 pounds gross vehicle weight.
Prior to the 2003 Benchmark Revision heavy trucks were more than 10,000 pounds.
Domestic sales–United States (U.S.) sales of vehicles assembled in the U.S., Canada, and Mexico.
Foreign sales–U.S. sales of vehicles produced elsewhere.
Domestic auto production–Autos assembled in the U.S.
Domestic auto inventories–U.S. inventories of vehicles assembled in the U.S., Canada, and Mexico.

TAble 6 - Light Vehicle and Total Vehicle Sales

Auto sales

A WSJ article suggested that auto sales might be a good indicator so bring that to the mix. It does have troughs that correlate with recessions

There might be some seasonal variance in the auto sales so lets take a look at the year over year. The data is pretty noisy, it probably will not make a very good indicator.

BEA Gross Domestic Product

Data in this section come from the Bureau of Economic Analysis.

Table 1.1.5. Gross Domestic Product

[Billions of dollars] Seasonally adjusted at annual rates

A191RC: Gross Domestic Product - Line 1

GDP numbers tend to lag so this series is truly an afterthought. But it does have some correlation with the recessions.

GDP does not reflect the capacity of the economy nor the efficiency. Shrinking capacity and lower prices at constant volumes would indicate improvements in effeciency/productivity which is good for the economy, but does not move the GDP upward.

Looks like the year over year change on the GDP should correlate well with unemployment.

Table 1.1.9. Implicit Price Deflators for Gross Domestic Product

[Index numbers, 2012=100] Seasonally adjusted

A191RD: Gross Domestic Product - Line 1

This is GDP price deflator series.

GDP normalized by CPI

Normalize GDP by CPI

Economic yield curve (GDP to 1-year treasury)

GDP versus the yield on the 1-year. This series was prompted by an article suggesting that the “economic yield curve” should be used to indicate a recession rather than an inverted yield curve. Less of indicator and more of concurrent confirmation of recession. Not sure why they would be related either.

Economic yield curve (GDP to 3-month treasury)

Same idea as above, but applied the 3-month treasury.This one has fewer false triggers, but is not as helpful as 10Y to 3M spread in predicting a recession.

A824RC: National defense Federal Gov’t Expenditures - Line 24

U.S. Bureau of Economic Analysis, Federal Government: National Defense Consumption Expenditures and Gross Investment [FDEFX], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/FDEFX, April 6, 2021.

A825RC: Nondefense Federal Gov’t Expenditures - Line 25

U.S. Bureau of Economic Analysis, Federal Government: Nondefense Consumption Expenditures and Gross Investment [FNDEFX], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/FNDEFX, April 6, 2021.

Table 6.16D. Corporate Profits by Industry

Select series from Table 6.16D

A051RC: Corporate profits with inventory and capital consumption adjustment

From BEA’s documentation (https://www.bea.gov/media/5671):

“BEA’s featured measure of corporate profits — profits from current production - provides a comprehensive and consistent economic measure of the income earned by all U.S. corporations. As such, it is unaffected by changes in tax laws, and it is adjusted for nonreported and misreported income. It excludes dividend income, capital gains and losses, and other financial flows and adjustments, such as deduction for “bad debt.” Thus, the NIPA measure of profits is a particularly useful analytical measure of the health of the corporate sector. For example, in contrast to other popular measures of corporate profits, the NIPA measure did not show the large run-up in profits during the late 1990s that was primarily attributable to capital gains.

Profits after tax with IVA and CCAdj is equal to corporate profits with IVA and CCAdj less taxes on corporate income. It provides an after-tax measure of profits from current production."

Data is Line 1 of Table 6.16D

A053RC: Corporate profits without inventory and capital consumption adjustment

Profits look a bit flat over the last several years in this series.

Table 2.6. Personal Income and Its Disposition, Monthly

Billions of dollars; months are seasonally adjusted at annual rates.

A065RC Personal Income - Line 1

BEA Account Code: A065RC

Personal income is the income that persons receive in return for their provision of labor, land, and capital used in current production and the net current transfer payments that they receive from business and from government.25 Personal income is equal to national income minus corporate profits with inventory valuation and capital consumption adjustments, taxes on production and imports less subsidies, contributions for government social insurance, net interest and miscellaneous payments on assets, business current transfer payments (net), current surplus of government enterprises, and wage accruals less disbursements, plus personal income receipts on assets and personal current transfer receipts. A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

Suggested Citation: U.S. Bureau of Economic Analysis, Personal Income [PI], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/PI, July 11, 2019.

DPCERC: Personal consumption expenditures (PCE) - Table 2.1, Line 29

BEA Account Code: DPCERC Personal consumption expenditures (PCE) is the primary measure of consumer spending on goods and services in the U.S. economy. 1 It accounts for about two-thirds of domestic final spending, and thus it is the primary engine that drives future economic growth. PCE shows how much of the income earned by households is being spent on current consumption as opposed to how much is being saved for future consumption. -https://www.bea.gov/system/files/2019-12/Chapter-5.pdf

Suggested Citation: U.S. Bureau of Economic Analysis, Personal Consumption Expenditures [PCE], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/PCE, June 12, 2020

DPCERG: Personal consumption expenditures Price Index (PCEPI) - Table 2.1, Line 29

BEA Account Code: DPCERG The gross domestic product price index measures changes in prices paid for goods and services produced in the United States, including those exported to other countries. Prices of imports are excluded. The gross domestic product implicit price deflator, or GDP deflator, basically measures the same things and closely mirrors the GDP price index, although the two price measures are calculated differently. The GDP deflator is used by some firms to adjust payments in contracts.

The gross domestic purchases price index is BEA’s featured measure of inflation for the U.S. economy overall. It measures changes in prices paid by consumers, businesses, and governments in the United States, including the prices of the imports they buy.

BEA’s closely followed personal consumption expenditures price index, or PCE price index, is a narrower measure. It looks at the changing prices of goods and services purchased by consumers in the United States. It’s similar to the Bureau of Labor Statistics’ consumer price index for urban consumers. The two indexes, which have their own purposes and uses, are constructed differently, resulting in different inflation rates.

The PCE price index is known for capturing inflation (or deflation) across a wide range of consumer expenses and for reflecting changes in consumer behavior. For example, if the price of beef rises, shoppers may buy less beef and more chicken. Also, BEA revises previously published PCE data to reflect updated information or new methodology, providing consistency across decades of data that’s valuable for researchers. The PCE price index is used primarily for macroeconomic analysis and forecasting. -https://www.bea.gov/resources/learning-center/what-to-know-prices-inflation

Suggested Citation: U.S. Bureau of Economic Analysis, Personal Consumption Expenditures: Chain-type Price Index [PCEPI], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/PCEPI, April 25, 2021.

A072RC: Personal Savings Rate - Line 35

Consumers tend to pull down their savings rates as unemployment decreases and market conditions improve. This series has tended to be unreliable due to the size of revisions during the comprehensive update carried out by the BEA. The last update on this series moved the rate from 4.2 to 6.7 percent.

(https://www.bloomberg.com/news/articles/2018-07-27/americans-have-been-saving-much-more-than-thought-new-data-show)

BEA Account Code: A072RC Personal saving as a percentage of disposable personal income (DPI), frequently referred to as “the personal saving rate,” is calculated as the ratio of personal saving to DPI. Personal saving is equal to personal income less personal outlays and personal taxes; it may generally be viewed as the portion of personal income that is used either to provide funds to capital markets or to invest in real assets such as residences.(https://www.bea.gov/national/pdf/all-chapters.pdf) A Guide to the National Income and Product Accounts of the United States (NIPA).

Suggested Citation: U.S. Bureau of Economic Analysis, Personal Saving Rate [PSAVERT], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/PSAVERT, July 9, 2019.

Take a closer look at the last decade

The relationship between personal savings and unemployment (U-3) can be better visualized with a scatter plot

## `geom_smooth()` using formula 'y ~ x'
## Warning: Removed 172 rows containing non-finite values (stat_smooth).

The fit does not explain most of what is in the plot. Lets take a look at the rolling correlation.

datay1 <- "UNRATE"
ylim1 <- c(2, 12)

datay2 <- "PSAVERT"
ylim2 <- c(0, 35)

dtStart <- as.Date("1jan1985","%d%b%Y")

w <- 360
corrName <- calcRollingCorr(dfRecession, df.data, df.symbols, datay1, ylim1, datay2, ylim2, w, dtStart)

Personal savings to household net worth

A relationship between personal savings and household networth can be seen in a scatter plot. This was suggested by a WSJ article (https://blogs.wsj.com/dailyshot/2018/02/23/the-daily-shot-reasons-for-declining-u-s-household-savings-rate/).

## `geom_smooth()` using formula 'y ~ x'
## Warning: Removed 1335 rows containing non-finite values (stat_smooth).

U.S. Census Bureau

U.S. International Trade in Goods and Services (FT900)

U.S. Bureau of Economic Analysis and U.S. Census Bureau, U.S. Imports of Goods by Customs Basis from China [IMPCH], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/IMPCH, October 5, 2019.

New Houses Sold and For Sale by Stage of Construction and Median Number of Months on Sales Market

Read an article suggesting that housing sales and sales growth could be useful. FRED only has new home data so start there.

datay <- "HSN1FNSA"
ylim <- c(0, 200)
dtStart = as.Date('1964-01-01')
p1 <- plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

datay <- "HNFSUSNSA"
ylim <- c(0, 600)
p2 <- plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

datay <- "HNFSUSNSA.minus.HSN1FNSA"
ylim <- c(0, 600)
p3 <-
  plotSingle(
    dfRecession,
    df.data,
    "date",
    datay,
    getPlotTitle(df.symbols, datay),
    "Date",
    getPlotYLabel(df.symbols, datay),
    c(dtStart, Sys.Date()),
    ylim,
    TRUE
  )

grid.arrange(p1,
             p2,
             p3,
             ncol = 1,
             top = "New Housing Sales")

New housing yoy

New Privately-Owned Housing Units Authorized in Permit-Issuing Places

As provided by the Census, start occurs when excavation begins for the footings or foundation of a building. All housing units in a multifamily building are defined as being started when this excavation begins. Beginning with data for September 1992, estimates of housing starts include units in structures being totally rebuilt on an existing foundation.

Suggested Citation: U.S. Census Bureau and U.S. Department of Housing and Urban Development, Housing Starts: Total: New Privately Owned Housing Units Started [HOUST], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/HOUST, June 13, 2020.

Take a look at privately owned starts

New Privately-Owned Houses Sold and For Sale

Suggested Citation: U.S. Census Bureau and U.S. Department of Housing and Urban Development, Median Sales Price of Houses Sold for the United States [MSPUS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/MSPUS, June 13, 2020.

Finally, take a look at starts times the median price

Durable Goods

Suggested Citation: U.S. Census Bureau, Manufacturers’ New Orders: Durable Goods [UMDMNO], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/UMDMNO, April 26, 2021.

Durable goods, not seasonally adjusted, divided by GDP

Durable goods, seasonally adjusted, divided by GDP

Federal reserve board H.8: Assets and Liabilities of Commercial Banks in the United States

Page 4: Not Seasonally adjusted, billions of dollars

Commercial and industrial loans, all commercial banks - Line 10

Data taken from H.8 Assets and Liabilities of Commercial Banks in the United States. Take a look at SA and NSA data series as weekly and month updates. It should all be similar at this scale.

Suggested Citation: Board of Governors of the Federal Reserve System (US), Commercial and Industrial Loans, All Commercial Banks [BUSLOANS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/BUSLOANS, July 11, 2019.

Taking a look at the difference in SA and NSA series. Seasonal adjustments do vary, but do not seem to be related to recessions.

The raw series is just too steep for any kind of machine learnine. This needs to be converted to log scale.

That’s a little better, let’s see what the smoothed derivative looks like.

That is odd…looks like this doesn’t cross zero unless we are getting close to, or into, a recession. The year over year tells about the same story. Might be a good indication of the end of a recession.

Consumer loans, all commercial banks - Line 20

Suggested Citation: Board of Governors of the Federal Reserve System (US), Consumer Loans, All Commercial Banks [CONSUMERNSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CONSUMERNSA, July 11, 2019.

That spike in consumer loans is due to

“April 9, 2010 (Last revised September 23, 2011): As of the week ending March 31, 2010, domestically chartered banks and foreign-related institutions had consolidated onto their balance sheets the following assets and liabilities of off-balance-sheet vehicles, owing to the adoption of FASB’s Financial Accounting Statements No. 166 (FAS 166),”Accounting for Transfers of Financial Assets," and No. 167 (FAS 167), “Amendments to FASB Interpretation No. 46(R).”

This included a consumer loans, credit cards and other revolving plans change of $321.9B. That was a lot of off-balance-sheet bank assets.

Deposits, All Commercial Banks, all commercial banks - Line 34

Data taken from H.8 Assets and Liabilities of Commercial Banks in the United States. Take a look at SA and NSA data series as weekly and month updates. It should all be similar at this scale.

Suggested Citation: Board of Governors of the Federal Reserve System (US), Deposits, All Commercial Banks [DPSACBW027SBOG], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/DPSACBW027SBOG, May 14, 2020.

Federal reserve board Z.1: Financial Accounts of the United States

From the FRED website (https://fred.stlouisfed.org/release?rid=52):

"The Financial Accounts (formerly known as the Flow of Funds accounts) are a set of financial accounts used to track the sources and uses of funds by sector. They are a component of a system of macroeconomic accounts including the National Income and Product accounts (NIPA) and balance of payments accounts, all of which serve as a comprehensive set of information on the economy’s performance.(1) Some important inferences that can be drawn from the Financial accounts are the financial strength of a given sector, new economic trends, changes in the composition of wealth, and development of new financial instruments over time.(1)

Sectors are compiled into three categories: households, nonfinancial businesses, and banks. The sources of funds for a sector are its internal funds (savings from income after consumption) and external funds (loans from banks and other financial intermediaries). (1) Funds for a given sector are used for its investments in physical and financial assets. Dividing sources and uses of funds into two categories helps the staff of the Federal Reserve System pay particular attention to external sources of funds and financial uses of funds.(2) One example is whether households are borrowing more from banks—or in other words, whether household debt is rising. Another example might be whether banks are using more of their funds to provide loans to consumers. Transactions within a sector are not shown in the accounts; however, transactions between sectors are.(2) Monitoring the external flows of funds provides insights into a sector’s health and the performance of the economy as a whole.

Data for the Financial accounts are compiled from a large number of reports and publications, including regulatory reports such as those submitted by banks, tax filings, and surveys conducted by the Federal Reserve System.(2) The Financial accounts are published quarterly as a set of tables in the Federal Reserve’s Z.1 statistical release.

  1. Teplin, Albert M. “The U.S. Flow of Funds Accounts and Their Uses.” Federal Reserve Bulletin, July 2001; http://www.federalreserve.gov/pubs/bulletin/2001/0701lead.pdf.
  2. Board of Governors of the Federal Reserve System. “Guide to the Flow of Funds Accounts.” 2000, http://www.federalreserve.gov/apps/fof/."

L.102 Nonfinancial Business

FL102051003.Q: Nonfinancial corporate business; security repurchase agreements; asset

Asset level of nonfinancial business security repo agreements. federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL102051003&t=

L.214 Loans

FL894123005.Q: All sectors; total loans; liability

Sum of domestic financial sectors, all sectors, total mortgages, and households/non-profits. federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL894123005&t=L.107&bc=L.107:FL793068005&suf=Q

FL793068005.Q: Domestic financial sectors; depository institution loans n.e.c.; asset

Sum of Monetary authority; depository institution loans n.e.c.; asset and Private depository institutions; depository institution loans n.e.c.; asset. federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793068005&t=L.214&suf=Q

FL893169005.Q: All sectors; other loans and advances; liability

Sum of finance, government, and chartered institutions asset levels. https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL893169005&t=L.214&suf=Q

FL893065105.Q: All sectors; home mortgages; asset

https://www.federalreserve.gov/apps/fof/DisplayTable.aspx?t=L.214

FL893065405.Q: All sectors; multifamily residential mortgages; asset

https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL893065405&t=L.214&suf=Q

FL893065505.Q: All sectors; commercial mortgages; asset

https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL893065505&t=L.214&suf=Q

FL153166000.Q: Households and nonprofit organizations; consumer credit; liability

federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL153166000&t=L.214&suf=Q

B.101 Balance Sheet of Households and Nonprofit Organizations

FL152000005.Q: Households and nonprofit organizations; total assets, Level

string.source ID: FL152000005.Q.

FL152090006.Q: Household Net Worth as Percentage of Disposable Personal Income

string.source ID: FL152090006.Q. Household networth tends to fall as a recession start.

Productivity Yield Curve

GDP versus productivity

Manufacturing output and employees

Not sure if these relates to a recession, but fascinating to see how output and employees change with time.

datay <- "OUTMS"
ylim <- c(60, 120)
dtStart = as.Date('1987-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

datay <- "MANEMP"
ylim <- c(10000, 20000)
dtStart = as.Date('1948-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

datay <- "PRS30006163"
ylim <- c(40, 120)
dtStart = as.Date('1986-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

Shipping volumes might be helpful in determining state of the economy.

datay <- "FRGSHPUSM649NCIS"
ylim <- c(0.8, 1.4)
dtStart = as.Date('1999-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

datay <- "FRGSHPUSM649NCIS_YoY"
ylim <- c(-30, 30)
dtStart = as.Date('1999-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

Freight, loosely, moves inversely to the trade deficit.

datay <- "BOPGTB_YoY"
ylim <- c(-30, 30)
dtStart = as.Date('1999-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

World bank air transportation. Only updated annually so less usefull, but interesting reference to above.

datay <- "WWDIWLDISAIRGOODMTK1"
ylim <- c(0, 250000)
dtStart = as.Date('1999-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

Gross private domestic investment

Spending most certainly tips down prior to a recession. The gross private domestic investment data series, plotted in log format below, show how private investment pulls back prior to recessions.

The change in direction is a little easier to see if the derivative is plotted, first YoY then the smoothed derivative

Velocity

Productivity

Frequency: Quarterly The Productivity and Costs release on August 7, 2003, will reflect the June 2003 benchmark revision to payroll employment. Since employment is now reported on a North American Industry Classification System (NAICS) basis, all of the historical data will be revised. Changes as a consequence of the move to NAICS should not be significant since this release carries data at high levels of aggregation.

Suggested Citation: U.S. Bureau of Labor Statistics, Nonfarm Business Sector: Labor Productivity (Output per Hour) for All Employed Persons [OPHNFB], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/OPHNFB, December 24, 2022.

Date range to match census data

PMI

Industrial Production

This is a look at manufacturing industrial production. The yoY change should be a leading indicator of unemployment.

Housing

Take a look at housing starts. These can drop as rates rise.

Frequency: Monthly

As provided by the Census, start occurs when excavation begins for the footings or foundation of a building. All housing units in a multifamily building are defined as being started when this excavation begins. Beginning with data for September 1992, estimates of housing starts include units in structures being totally rebuilt on an existing foundation.

Suggested Citation: U.S. Census Bureau and U.S. Department of Housing and Urban Development, New Privately-Owned Housing Units Started: Total Units [HOUST], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/HOUST, December 24, 2022.

Housing starts, NSA

HOUST reports at annual rate, but HOUSTNSA just reports the monthly numbers. I scale up the NSA to the annual rate.

Units: Thousands of Units, Not Seasonally Adjusted

Frequency: Monthly

Suggested Citation: U.S. Census Bureau and U.S. Department of Housing and Urban Development, New Privately-Owned Housing Units Started: Total Units [HOUSTNSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/HOUSTNSA, December 24, 2022.

Case-schiller price index

Population data

Many of the economic series can be better understood if normalized by population. Basic population and worker data from FRED.

Population to GDP

Look at GDP divided by CPI per person. It flattens and even dips a little prior to a recession. Might be worth looking at the derivative of this series.

That is worth a closer look

datay1 <- "GDPBYCPIAUCSLBYPOPTHM_SmoothDer"
ylim1 <- c(-5, 5)

datay2 <- "RecInit_Smooth"
ylim2 <- c(0, 1)

dtStart <- as.Date("1jan1960","%d%b%Y")

w <- 30
corrName <- calcRollingCorr(dfRecession, df.data, df.symbols, datay1, ylim1, datay2, ylim2, w, dtStart)

Correlation Study

Detailed correlations are explored above. Before concluding, let’s take a look at some overall correlation values to see if anything pops out.

Commodities

As mentioned above, copper, year over year, has some correlation with the recession initiation. It could be useful.

GDP Series

GDP, normalized first by CPI and then by population, looks like it migh correlate inversely with the recession indicators

Financials

Let’s see where we are so far. The correlation plot confirms some of the speculation above. The S&P 500 (GSPC.Open) is well correlated with industrial production (INDPRO), business loans (BUSLOANS), total loans (TOTLNNSA) , and nonfinancial corporate business debt (NCBDBIQ027S).

In this case, I want and indicator that rises prior to a recession. It looks like the unemployment rate (UNRATE), real personal income (W875RX1), and the yield curve (DGS10TO1) are all inversely correlated with the recession initiation indicator.

I thought the modified recession initiation would be a harder match, but there are quite a few correlated variables. Lets take a look at some of those in more detail

Complete list of symbols

Since it is tedious to do this one at a time, all the symbols were entered into a data frame, loaded, and aggregated together in a single xts object.

This is the complete list of symbol names and sources used in the project.